forked from D-Net/dnet-hadoop
Merge pull request 'Import dnet-pace-core module in this project and use it after renaming to dhp-pace-core' (#319) from beta_with_pace_core into beta
Reviewed-on: D-Net/dnet-hadoop#319
This commit is contained in:
commit
ef493681d9
|
@ -60,6 +60,11 @@
|
|||
</build>
|
||||
|
||||
<dependencies>
|
||||
<dependency>
|
||||
<groupId>eu.dnetlib.dhp</groupId>
|
||||
<artifactId>dhp-pace-core</artifactId>
|
||||
<version>${project.version}</version>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>org.apache.hadoop</groupId>
|
||||
|
@ -142,11 +147,6 @@
|
|||
<artifactId>okhttp</artifactId>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>eu.dnetlib</groupId>
|
||||
<artifactId>dnet-pace-core</artifactId>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>org.apache.httpcomponents</groupId>
|
||||
<artifactId>httpclient</artifactId>
|
||||
|
|
|
@ -0,0 +1,105 @@
|
|||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
|
||||
|
||||
<modelVersion>4.0.0</modelVersion>
|
||||
|
||||
<parent>
|
||||
<groupId>eu.dnetlib.dhp</groupId>
|
||||
<artifactId>dhp</artifactId>
|
||||
<version>1.2.5-SNAPSHOT</version>
|
||||
<relativePath>../pom.xml</relativePath>
|
||||
</parent>
|
||||
|
||||
<groupId>eu.dnetlib.dhp</groupId>
|
||||
<artifactId>dhp-pace-core</artifactId>
|
||||
<version>1.2.5-SNAPSHOT</version>
|
||||
<packaging>jar</packaging>
|
||||
|
||||
<build>
|
||||
<plugins>
|
||||
<plugin>
|
||||
<groupId>net.alchim31.maven</groupId>
|
||||
<artifactId>scala-maven-plugin</artifactId>
|
||||
<version>4.0.1</version>
|
||||
<executions>
|
||||
<execution>
|
||||
<id>scala-compile-first</id>
|
||||
<phase>initialize</phase>
|
||||
<goals>
|
||||
<goal>add-source</goal>
|
||||
<goal>compile</goal>
|
||||
</goals>
|
||||
</execution>
|
||||
<execution>
|
||||
<id>scala-test-compile</id>
|
||||
<phase>process-test-resources</phase>
|
||||
<goals>
|
||||
<goal>testCompile</goal>
|
||||
</goals>
|
||||
</execution>
|
||||
</executions>
|
||||
<configuration>
|
||||
<scalaVersion>${scala.version}</scalaVersion>
|
||||
<addScalacArgs>-target:jvm-1.8</addScalacArgs>
|
||||
</configuration>
|
||||
</plugin>
|
||||
</plugins>
|
||||
|
||||
</build>
|
||||
|
||||
<dependencies>
|
||||
<dependency>
|
||||
<groupId>edu.cmu</groupId>
|
||||
<artifactId>secondstring</artifactId>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>com.google.guava</groupId>
|
||||
<artifactId>guava</artifactId>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>com.google.code.gson</groupId>
|
||||
<artifactId>gson</artifactId>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.apache.commons</groupId>
|
||||
<artifactId>commons-lang3</artifactId>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>commons-io</groupId>
|
||||
<artifactId>commons-io</artifactId>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>org.antlr</groupId>
|
||||
<artifactId>stringtemplate</artifactId>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>commons-logging</groupId>
|
||||
<artifactId>commons-logging</artifactId>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.reflections</groupId>
|
||||
<artifactId>reflections</artifactId>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>com.fasterxml.jackson.core</groupId>
|
||||
<artifactId>jackson-databind</artifactId>
|
||||
</dependency>
|
||||
<dependency>
|
||||
<groupId>org.apache.commons</groupId>
|
||||
<artifactId>commons-math3</artifactId>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>com.jayway.jsonpath</groupId>
|
||||
<artifactId>json-path</artifactId>
|
||||
</dependency>
|
||||
|
||||
<dependency>
|
||||
<groupId>com.ibm.icu</groupId>
|
||||
<artifactId>icu4j</artifactId>
|
||||
</dependency>
|
||||
|
||||
</dependencies>
|
||||
|
||||
</project>
|
|
@ -0,0 +1,48 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.Collection;
|
||||
import java.util.HashSet;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
|
||||
import eu.dnetlib.pace.common.AbstractPaceFunctions;
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
|
||||
public abstract class AbstractClusteringFunction extends AbstractPaceFunctions implements ClusteringFunction {
|
||||
|
||||
protected Map<String, Integer> params;
|
||||
|
||||
public AbstractClusteringFunction(final Map<String, Integer> params) {
|
||||
this.params = params;
|
||||
}
|
||||
|
||||
protected abstract Collection<String> doApply(Config conf, String s);
|
||||
|
||||
@Override
|
||||
public Collection<String> apply(Config conf, List<Field> fields) {
|
||||
return fields
|
||||
.stream()
|
||||
.filter(f -> !f.isEmpty())
|
||||
.map(Field::stringValue)
|
||||
.map(this::normalize)
|
||||
.map(s -> filterAllStopWords(s))
|
||||
.map(s -> doApply(conf, s))
|
||||
.map(c -> filterBlacklisted(c, ngramBlacklist))
|
||||
.flatMap(c -> c.stream())
|
||||
.filter(StringUtils::isNotBlank)
|
||||
.collect(Collectors.toCollection(HashSet::new));
|
||||
}
|
||||
|
||||
public Map<String, Integer> getParams() {
|
||||
return params;
|
||||
}
|
||||
|
||||
protected Integer param(String name) {
|
||||
return params.get(name);
|
||||
}
|
||||
}
|
|
@ -0,0 +1,51 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.Collection;
|
||||
import java.util.Map;
|
||||
import java.util.Set;
|
||||
import java.util.StringTokenizer;
|
||||
|
||||
import com.google.common.collect.Sets;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
|
||||
@ClusteringClass("acronyms")
|
||||
public class Acronyms extends AbstractClusteringFunction {
|
||||
|
||||
public Acronyms(Map<String, Integer> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Collection<String> doApply(Config conf, String s) {
|
||||
return extractAcronyms(s, param("max"), param("minLen"), param("maxLen"));
|
||||
}
|
||||
|
||||
private Set<String> extractAcronyms(final String s, int maxAcronyms, int minLen, int maxLen) {
|
||||
|
||||
final Set<String> acronyms = Sets.newLinkedHashSet();
|
||||
|
||||
for (int i = 0; i < maxAcronyms; i++) {
|
||||
|
||||
final StringTokenizer st = new StringTokenizer(s);
|
||||
final StringBuilder sb = new StringBuilder();
|
||||
|
||||
while (st.hasMoreTokens()) {
|
||||
final String token = st.nextToken();
|
||||
if (sb.length() > maxLen) {
|
||||
break;
|
||||
}
|
||||
if (token.length() > 1 && i < token.length()) {
|
||||
sb.append(token.charAt(i));
|
||||
}
|
||||
}
|
||||
String acronym = sb.toString();
|
||||
if (acronym.length() > minLen) {
|
||||
acronyms.add(acronym);
|
||||
}
|
||||
}
|
||||
return acronyms;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,60 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.Collection;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Map.Entry;
|
||||
import java.util.regex.Pattern;
|
||||
|
||||
import com.google.common.collect.Maps;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Document;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.model.FieldListImpl;
|
||||
import eu.dnetlib.pace.model.MapDocument;
|
||||
|
||||
public class BlacklistAwareClusteringCombiner extends ClusteringCombiner {
|
||||
|
||||
public static Collection<String> filterAndCombine(final MapDocument a, final Config conf) {
|
||||
Document filtered = filter(a, conf.blacklists());
|
||||
return combine(filtered, conf);
|
||||
}
|
||||
|
||||
private static MapDocument filter(final MapDocument a, final Map<String, List<Pattern>> blacklists) {
|
||||
if (blacklists == null || blacklists.isEmpty()) {
|
||||
return a;
|
||||
}
|
||||
|
||||
final Map<String, Field> filtered = Maps.newHashMap(a.getFieldMap());
|
||||
|
||||
for (final Entry<String, List<Pattern>> e : blacklists.entrySet()) {
|
||||
Field fields = a.getFieldMap().get(e.getKey());
|
||||
if (fields != null) {
|
||||
final FieldListImpl fl = new FieldListImpl();
|
||||
|
||||
for (Field f : fields) {
|
||||
if (!isBlackListed(f.stringValue(), e.getValue())) {
|
||||
fl.add(f);
|
||||
}
|
||||
}
|
||||
|
||||
filtered.put(e.getKey(), fl);
|
||||
}
|
||||
}
|
||||
|
||||
return new MapDocument(a.getIdentifier(), filtered);
|
||||
}
|
||||
|
||||
private static boolean isBlackListed(String value, List<Pattern> blacklist) {
|
||||
for (Pattern pattern : blacklist) {
|
||||
if (pattern.matcher(value).matches()) {
|
||||
return true;
|
||||
}
|
||||
}
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,14 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.lang.annotation.ElementType;
|
||||
import java.lang.annotation.Retention;
|
||||
import java.lang.annotation.RetentionPolicy;
|
||||
import java.lang.annotation.Target;
|
||||
|
||||
@Retention(RetentionPolicy.RUNTIME)
|
||||
@Target(ElementType.TYPE)
|
||||
public @interface ClusteringClass {
|
||||
|
||||
public String value();
|
||||
}
|
|
@ -0,0 +1,64 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.Collection;
|
||||
import java.util.List;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
|
||||
import com.google.common.collect.Sets;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.ClusteringDef;
|
||||
import eu.dnetlib.pace.model.Document;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.model.FieldValueImpl;
|
||||
|
||||
public class ClusteringCombiner {
|
||||
|
||||
private static String SEPARATOR = ":";
|
||||
private static String COLLAPSE_ON = "collapseOn";
|
||||
|
||||
public static Collection<String> combine(final Document a, final Config conf) {
|
||||
final Collection<String> res = Sets.newLinkedHashSet();
|
||||
for (final ClusteringDef cd : conf.clusterings()) {
|
||||
for (final String fieldName : cd.getFields()) {
|
||||
String prefix = getPrefix(cd, fieldName);
|
||||
|
||||
Field values = a.values(fieldName);
|
||||
List<Field> fields = new ArrayList<>();
|
||||
|
||||
if (values instanceof FieldValueImpl) {
|
||||
fields.add(values);
|
||||
} else {
|
||||
fields.addAll((List<Field>) values);
|
||||
}
|
||||
|
||||
res
|
||||
.addAll(
|
||||
cd
|
||||
.clusteringFunction()
|
||||
.apply(conf, fields)
|
||||
.stream()
|
||||
.map(k -> prefix + SEPARATOR + k)
|
||||
.collect(Collectors.toList()));
|
||||
}
|
||||
}
|
||||
return res;
|
||||
}
|
||||
|
||||
private static String getPrefix(ClusteringDef cd, String fieldName) {
|
||||
return cd.getName() + SEPARATOR +
|
||||
cd
|
||||
.getParams()
|
||||
.keySet()
|
||||
.stream()
|
||||
.filter(k -> k.contains(COLLAPSE_ON))
|
||||
.findFirst()
|
||||
.map(k -> StringUtils.substringAfter(k, SEPARATOR))
|
||||
.orElse(fieldName);
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,17 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.Collection;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
|
||||
public interface ClusteringFunction {
|
||||
|
||||
public Collection<String> apply(Config config, List<Field> fields);
|
||||
|
||||
public Map<String, Integer> getParams();
|
||||
|
||||
}
|
|
@ -0,0 +1,28 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.Collection;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
import com.google.common.collect.Lists;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
|
||||
@ClusteringClass("immutablefieldvalue")
|
||||
public class ImmutableFieldValue extends AbstractClusteringFunction {
|
||||
|
||||
public ImmutableFieldValue(final Map<String, Integer> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Collection<String> doApply(final Config conf, final String s) {
|
||||
final List<String> res = Lists.newArrayList();
|
||||
|
||||
res.add(s);
|
||||
|
||||
return res;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,57 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.*;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
|
||||
import eu.dnetlib.pace.common.AbstractPaceFunctions;
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
|
||||
@ClusteringClass("keywordsclustering")
|
||||
public class KeywordsClustering extends AbstractClusteringFunction {
|
||||
|
||||
public KeywordsClustering(Map<String, Integer> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Collection<String> doApply(final Config conf, String s) {
|
||||
|
||||
// takes city codes and keywords codes without duplicates
|
||||
Set<String> keywords = getKeywords(s, conf.translationMap(), params.getOrDefault("windowSize", 4));
|
||||
Set<String> cities = getCities(s, params.getOrDefault("windowSize", 4));
|
||||
|
||||
// list of combination to return as result
|
||||
final Collection<String> combinations = new LinkedHashSet<String>();
|
||||
|
||||
for (String keyword : keywordsToCodes(keywords, conf.translationMap())) {
|
||||
for (String city : citiesToCodes(cities)) {
|
||||
combinations.add(keyword + "-" + city);
|
||||
if (combinations.size() >= params.getOrDefault("max", 2)) {
|
||||
return combinations;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return combinations;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Collection<String> apply(final Config conf, List<Field> fields) {
|
||||
return fields
|
||||
.stream()
|
||||
.filter(f -> !f.isEmpty())
|
||||
.map(Field::stringValue)
|
||||
.map(this::cleanup)
|
||||
.map(this::normalize)
|
||||
.map(s -> filterAllStopWords(s))
|
||||
.map(s -> doApply(conf, s))
|
||||
.map(c -> filterBlacklisted(c, ngramBlacklist))
|
||||
.flatMap(c -> c.stream())
|
||||
.filter(StringUtils::isNotBlank)
|
||||
.collect(Collectors.toCollection(HashSet::new));
|
||||
}
|
||||
}
|
|
@ -0,0 +1,81 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.*;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
|
||||
import com.google.common.collect.Lists;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.model.Person;
|
||||
|
||||
@ClusteringClass("lnfi")
|
||||
public class LastNameFirstInitial extends AbstractClusteringFunction {
|
||||
|
||||
private boolean DEFAULT_AGGRESSIVE = true;
|
||||
|
||||
public LastNameFirstInitial(final Map<String, Integer> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Collection<String> apply(Config conf, List<Field> fields) {
|
||||
return fields
|
||||
.stream()
|
||||
.filter(f -> !f.isEmpty())
|
||||
.map(Field::stringValue)
|
||||
.map(this::normalize)
|
||||
.map(s -> doApply(conf, s))
|
||||
.map(c -> filterBlacklisted(c, ngramBlacklist))
|
||||
.flatMap(c -> c.stream())
|
||||
.filter(StringUtils::isNotBlank)
|
||||
.collect(Collectors.toCollection(HashSet::new));
|
||||
}
|
||||
|
||||
@Override
|
||||
protected String normalize(final String s) {
|
||||
return fixAliases(transliterate(nfd(unicodeNormalization(s))))
|
||||
// do not compact the regexes in a single expression, would cause StackOverflowError in case of large input
|
||||
// strings
|
||||
.replaceAll("[^ \\w]+", "")
|
||||
.replaceAll("(\\p{InCombiningDiacriticalMarks})+", "")
|
||||
.replaceAll("(\\p{Punct})+", " ")
|
||||
.replaceAll("(\\d)+", " ")
|
||||
.replaceAll("(\\n)+", " ")
|
||||
.trim();
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Collection<String> doApply(final Config conf, final String s) {
|
||||
|
||||
final List<String> res = Lists.newArrayList();
|
||||
|
||||
final boolean aggressive = (Boolean) (getParams().containsKey("aggressive") ? getParams().get("aggressive")
|
||||
: DEFAULT_AGGRESSIVE);
|
||||
|
||||
Person p = new Person(s, aggressive);
|
||||
|
||||
if (p.isAccurate()) {
|
||||
String lastName = p.getNormalisedSurname().toLowerCase();
|
||||
String firstInitial = p.getNormalisedFirstName().toLowerCase().substring(0, 1);
|
||||
|
||||
res.add(firstInitial.concat(lastName));
|
||||
} else { // is not accurate, meaning it has no defined name and surname
|
||||
List<String> fullname = Arrays.asList(p.getNormalisedFullname().split(" "));
|
||||
if (fullname.size() == 1) {
|
||||
res.add(p.getNormalisedFullname().toLowerCase());
|
||||
} else if (fullname.size() == 2) {
|
||||
res.add(fullname.get(0).substring(0, 1).concat(fullname.get(1)).toLowerCase());
|
||||
res.add(fullname.get(1).substring(0, 1).concat(fullname.get(0)).toLowerCase());
|
||||
} else {
|
||||
res.add(fullname.get(0).substring(0, 1).concat(fullname.get(fullname.size() - 1)).toLowerCase());
|
||||
res.add(fullname.get(fullname.size() - 1).substring(0, 1).concat(fullname.get(0)).toLowerCase());
|
||||
}
|
||||
}
|
||||
|
||||
return res;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,39 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.Collection;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
|
||||
import com.google.common.collect.Lists;
|
||||
import com.google.common.collect.Sets;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
|
||||
@ClusteringClass("lowercase")
|
||||
public class LowercaseClustering extends AbstractClusteringFunction {
|
||||
|
||||
public LowercaseClustering(final Map<String, Integer> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Collection<String> apply(Config conf, List<Field> fields) {
|
||||
Collection<String> c = Sets.newLinkedHashSet();
|
||||
for (Field f : fields) {
|
||||
c.addAll(doApply(conf, f.stringValue()));
|
||||
}
|
||||
return c;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Collection<String> doApply(final Config conf, final String s) {
|
||||
if (StringUtils.isBlank(s)) {
|
||||
return Lists.newArrayList();
|
||||
}
|
||||
return Lists.newArrayList(s.toLowerCase().trim());
|
||||
}
|
||||
}
|
|
@ -0,0 +1,24 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.Set;
|
||||
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
|
||||
import eu.dnetlib.pace.common.AbstractPaceFunctions;
|
||||
|
||||
public class NGramUtils extends AbstractPaceFunctions {
|
||||
|
||||
private static final int SIZE = 100;
|
||||
|
||||
private static Set<String> stopwords = AbstractPaceFunctions
|
||||
.loadFromClasspath("/eu/dnetlib/pace/config/stopwords_en.txt");
|
||||
|
||||
public static String cleanupForOrdering(String s) {
|
||||
NGramUtils utils = new NGramUtils();
|
||||
return (utils.filterStopWords(utils.normalize(s), stopwords) + StringUtils.repeat(" ", SIZE))
|
||||
.substring(0, SIZE)
|
||||
.replaceAll(" ", "");
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,38 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.Collection;
|
||||
import java.util.HashMap;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
import com.google.common.collect.Lists;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
|
||||
@ClusteringClass("ngrampairs")
|
||||
public class NgramPairs extends Ngrams {
|
||||
|
||||
public NgramPairs(Map<String, Integer> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Collection<String> doApply(Config conf, String s) {
|
||||
return ngramPairs(Lists.newArrayList(getNgrams(s, param("ngramLen"), param("max") * 2, 1, 2)), param("max"));
|
||||
}
|
||||
|
||||
protected Collection<String> ngramPairs(final List<String> ngrams, int maxNgrams) {
|
||||
Collection<String> res = Lists.newArrayList();
|
||||
int j = 0;
|
||||
for (int i = 0; i < ngrams.size() && res.size() < maxNgrams; i++) {
|
||||
if (++j >= ngrams.size()) {
|
||||
break;
|
||||
}
|
||||
res.add(ngrams.get(i) + ngrams.get(j));
|
||||
// System.out.println("-- " + concatNgrams);
|
||||
}
|
||||
return res;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,44 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.*;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
|
||||
@ClusteringClass("ngrams")
|
||||
public class Ngrams extends AbstractClusteringFunction {
|
||||
|
||||
public Ngrams(Map<String, Integer> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Collection<String> doApply(Config conf, String s) {
|
||||
return getNgrams(s, param("ngramLen"), param("max"), param("maxPerToken"), param("minNgramLen"));
|
||||
}
|
||||
|
||||
protected Collection<String> getNgrams(String s, int ngramLen, int max, int maxPerToken, int minNgramLen) {
|
||||
|
||||
final Collection<String> ngrams = new LinkedHashSet<String>();
|
||||
final StringTokenizer st = new StringTokenizer(s);
|
||||
|
||||
while (st.hasMoreTokens()) {
|
||||
final String token = st.nextToken();
|
||||
if (!token.isEmpty()) {
|
||||
|
||||
for (int i = 0; i < maxPerToken && ngramLen + i <= token.length(); i++) {
|
||||
String ngram = (token + " ").substring(i, ngramLen + i).trim();
|
||||
if (ngrams.size() >= max) {
|
||||
return ngrams;
|
||||
}
|
||||
if (ngram.length() >= minNgramLen) {
|
||||
ngrams.add(ngram);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
// System.out.println(ngrams + " n: " + ngrams.size());
|
||||
return ngrams;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,85 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.Collection;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Set;
|
||||
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
|
||||
import com.google.common.collect.Sets;
|
||||
|
||||
import eu.dnetlib.pace.common.AbstractPaceFunctions;
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.model.Person;
|
||||
|
||||
@ClusteringClass("personClustering")
|
||||
public class PersonClustering extends AbstractPaceFunctions implements ClusteringFunction {
|
||||
|
||||
private Map<String, Integer> params;
|
||||
|
||||
private static final int MAX_TOKENS = 5;
|
||||
|
||||
public PersonClustering(final Map<String, Integer> params) {
|
||||
this.params = params;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Collection<String> apply(final Config conf, final List<Field> fields) {
|
||||
final Set<String> hashes = Sets.newHashSet();
|
||||
|
||||
for (final Field f : fields) {
|
||||
|
||||
final Person person = new Person(f.stringValue(), false);
|
||||
|
||||
if (StringUtils.isNotBlank(person.getNormalisedFirstName())
|
||||
&& StringUtils.isNotBlank(person.getNormalisedSurname())) {
|
||||
hashes.add(firstLC(person.getNormalisedFirstName()) + person.getNormalisedSurname().toLowerCase());
|
||||
} else {
|
||||
for (final String token1 : tokens(f.stringValue(), MAX_TOKENS)) {
|
||||
for (final String token2 : tokens(f.stringValue(), MAX_TOKENS)) {
|
||||
if (!token1.equals(token2)) {
|
||||
hashes.add(firstLC(token1) + token2);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return hashes;
|
||||
}
|
||||
|
||||
// @Override
|
||||
// public Collection<String> apply(final List<Field> fields) {
|
||||
// final Set<String> hashes = Sets.newHashSet();
|
||||
//
|
||||
// for (final Field f : fields) {
|
||||
//
|
||||
// final GTAuthor gta = GTAuthor.fromOafJson(f.stringValue());
|
||||
//
|
||||
// final Author a = gta.getAuthor();
|
||||
//
|
||||
// if (StringUtils.isNotBlank(a.getFirstname()) && StringUtils.isNotBlank(a.getSecondnames())) {
|
||||
// hashes.add(firstLC(a.getFirstname()) + a.getSecondnames().toLowerCase());
|
||||
// } else {
|
||||
// for (final String token1 : tokens(f.stringValue(), MAX_TOKENS)) {
|
||||
// for (final String token2 : tokens(f.stringValue(), MAX_TOKENS)) {
|
||||
// if (!token1.equals(token2)) {
|
||||
// hashes.add(firstLC(token1) + token2);
|
||||
// }
|
||||
// }
|
||||
// }
|
||||
// }
|
||||
// }
|
||||
//
|
||||
// return hashes;
|
||||
// }
|
||||
|
||||
@Override
|
||||
public Map<String, Integer> getParams() {
|
||||
return params;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,34 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.Collection;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
import com.google.common.collect.Lists;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Person;
|
||||
|
||||
@ClusteringClass("personHash")
|
||||
public class PersonHash extends AbstractClusteringFunction {
|
||||
|
||||
private boolean DEFAULT_AGGRESSIVE = false;
|
||||
|
||||
public PersonHash(final Map<String, Integer> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Collection<String> doApply(final Config conf, final String s) {
|
||||
final List<String> res = Lists.newArrayList();
|
||||
|
||||
final boolean aggressive = (Boolean) (getParams().containsKey("aggressive") ? getParams().get("aggressive")
|
||||
: DEFAULT_AGGRESSIVE);
|
||||
|
||||
res.add(new Person(s, aggressive).hash());
|
||||
|
||||
return res;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,20 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.Collection;
|
||||
import java.util.Map;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
|
||||
public class RandomClusteringFunction extends AbstractClusteringFunction {
|
||||
|
||||
public RandomClusteringFunction(Map<String, Integer> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Collection<String> doApply(final Config conf, String s) {
|
||||
return null;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,31 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.*;
|
||||
|
||||
import com.google.common.base.Joiner;
|
||||
import com.google.common.base.Splitter;
|
||||
import com.google.common.collect.Lists;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
|
||||
@ClusteringClass("sortedngrampairs")
|
||||
public class SortedNgramPairs extends NgramPairs {
|
||||
|
||||
public SortedNgramPairs(Map<String, Integer> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Collection<String> doApply(Config conf, String s) {
|
||||
|
||||
final List<String> tokens = Lists.newArrayList(Splitter.on(" ").omitEmptyStrings().trimResults().split(s));
|
||||
|
||||
Collections.sort(tokens);
|
||||
|
||||
return ngramPairs(
|
||||
Lists.newArrayList(getNgrams(Joiner.on(" ").join(tokens), param("ngramLen"), param("max") * 2, 1, 2)),
|
||||
param("max"));
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,34 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.Collection;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
import org.apache.commons.lang3.RandomStringUtils;
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
|
||||
import com.google.common.collect.Lists;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
|
||||
@ClusteringClass("spacetrimmingfieldvalue")
|
||||
public class SpaceTrimmingFieldValue extends AbstractClusteringFunction {
|
||||
|
||||
public SpaceTrimmingFieldValue(final Map<String, Integer> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Collection<String> doApply(final Config conf, final String s) {
|
||||
final List<String> res = Lists.newArrayList();
|
||||
|
||||
res
|
||||
.add(
|
||||
StringUtils.isBlank(s) ? RandomStringUtils.random(getParams().get("randomLength"))
|
||||
: s.toLowerCase().replaceAll("\\s+", ""));
|
||||
|
||||
return res;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,42 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.Collection;
|
||||
import java.util.Map;
|
||||
import java.util.Set;
|
||||
|
||||
import com.google.common.collect.Sets;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
|
||||
@ClusteringClass("suffixprefix")
|
||||
public class SuffixPrefix extends AbstractClusteringFunction {
|
||||
|
||||
public SuffixPrefix(Map<String, Integer> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Collection<String> doApply(Config conf, String s) {
|
||||
return suffixPrefix(s, param("len"), param("max"));
|
||||
}
|
||||
|
||||
private Collection<String> suffixPrefix(String s, int len, int max) {
|
||||
final Set<String> bigrams = Sets.newLinkedHashSet();
|
||||
int i = 0;
|
||||
while (++i < s.length() && bigrams.size() < max) {
|
||||
int j = s.indexOf(" ", i);
|
||||
|
||||
int offset = j + len + 1 < s.length() ? j + len + 1 : s.length();
|
||||
|
||||
if (j - len > 0) {
|
||||
String bigram = s.substring(j - len, offset).replaceAll(" ", "").trim();
|
||||
if (bigram.length() >= 4) {
|
||||
bigrams.add(bigram);
|
||||
}
|
||||
}
|
||||
}
|
||||
return bigrams;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,54 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.net.MalformedURLException;
|
||||
import java.net.URL;
|
||||
import java.util.Collection;
|
||||
import java.util.HashSet;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import eu.dnetlib.pace.common.AbstractPaceFunctions;
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
|
||||
@ClusteringClass("urlclustering")
|
||||
public class UrlClustering extends AbstractPaceFunctions implements ClusteringFunction {
|
||||
|
||||
protected Map<String, Integer> params;
|
||||
|
||||
public UrlClustering(final Map<String, Integer> params) {
|
||||
this.params = params;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Collection<String> apply(final Config conf, List<Field> fields) {
|
||||
try {
|
||||
return fields
|
||||
.stream()
|
||||
.filter(f -> !f.isEmpty())
|
||||
.map(Field::stringValue)
|
||||
.map(this::asUrl)
|
||||
.map(URL::getHost)
|
||||
.collect(Collectors.toCollection(HashSet::new));
|
||||
} catch (IllegalStateException e) {
|
||||
return new HashSet<>();
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public Map<String, Integer> getParams() {
|
||||
return null;
|
||||
}
|
||||
|
||||
private URL asUrl(String value) {
|
||||
try {
|
||||
return new URL(value);
|
||||
} catch (MalformedURLException e) {
|
||||
// should not happen as checked by pace typing
|
||||
throw new IllegalStateException("invalid URL: " + value);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,91 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.*;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import com.google.common.collect.Sets;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
|
||||
@ClusteringClass("wordsStatsSuffixPrefixChain")
|
||||
public class WordsStatsSuffixPrefixChain extends AbstractClusteringFunction {
|
||||
|
||||
public WordsStatsSuffixPrefixChain(Map<String, Integer> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Collection<String> doApply(Config conf, String s) {
|
||||
return suffixPrefixChain(s, param("mod"));
|
||||
}
|
||||
|
||||
private Collection<String> suffixPrefixChain(String s, int mod) {
|
||||
|
||||
// create the list of words from the string (remove short words)
|
||||
List<String> wordsList = Arrays
|
||||
.stream(s.split(" "))
|
||||
.filter(si -> si.length() > 3)
|
||||
.collect(Collectors.toList());
|
||||
|
||||
final int words = wordsList.size();
|
||||
final int letters = s.length();
|
||||
|
||||
// create the prefix: number of words + number of letters/mod
|
||||
String prefix = words + "-" + letters / mod + "-";
|
||||
|
||||
return doSuffixPrefixChain(wordsList, prefix);
|
||||
|
||||
}
|
||||
|
||||
private Collection<String> doSuffixPrefixChain(List<String> wordsList, String prefix) {
|
||||
|
||||
Set<String> set = Sets.newLinkedHashSet();
|
||||
switch (wordsList.size()) {
|
||||
case 0:
|
||||
case 1:
|
||||
break;
|
||||
case 2:
|
||||
set
|
||||
.add(
|
||||
prefix +
|
||||
suffix(wordsList.get(0), 3) +
|
||||
prefix(wordsList.get(1), 3));
|
||||
|
||||
set
|
||||
.add(
|
||||
prefix +
|
||||
prefix(wordsList.get(0), 3) +
|
||||
suffix(wordsList.get(1), 3));
|
||||
|
||||
break;
|
||||
default:
|
||||
set
|
||||
.add(
|
||||
prefix +
|
||||
suffix(wordsList.get(0), 3) +
|
||||
prefix(wordsList.get(1), 3) +
|
||||
suffix(wordsList.get(2), 3));
|
||||
|
||||
set
|
||||
.add(
|
||||
prefix +
|
||||
prefix(wordsList.get(0), 3) +
|
||||
suffix(wordsList.get(1), 3) +
|
||||
prefix(wordsList.get(2), 3));
|
||||
break;
|
||||
}
|
||||
|
||||
return set;
|
||||
|
||||
}
|
||||
|
||||
private String suffix(String s, int len) {
|
||||
return s.substring(s.length() - len);
|
||||
}
|
||||
|
||||
private String prefix(String s, int len) {
|
||||
return s.substring(0, len);
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,59 @@
|
|||
|
||||
package eu.dnetlib.pace.clustering;
|
||||
|
||||
import java.util.Collection;
|
||||
import java.util.Map;
|
||||
import java.util.Set;
|
||||
|
||||
import com.google.common.collect.Sets;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
|
||||
@ClusteringClass("wordssuffixprefix")
|
||||
public class WordsSuffixPrefix extends AbstractClusteringFunction {
|
||||
|
||||
public WordsSuffixPrefix(Map<String, Integer> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Collection<String> doApply(Config conf, String s) {
|
||||
return suffixPrefix(s, param("len"), param("max"));
|
||||
}
|
||||
|
||||
private Collection<String> suffixPrefix(String s, int len, int max) {
|
||||
|
||||
final int words = s.split(" ").length;
|
||||
|
||||
// adjust the token length according to the number of words
|
||||
switch (words) {
|
||||
case 1:
|
||||
return Sets.newLinkedHashSet();
|
||||
case 2:
|
||||
return doSuffixPrefix(s, len + 2, max, words);
|
||||
case 3:
|
||||
return doSuffixPrefix(s, len + 1, max, words);
|
||||
default:
|
||||
return doSuffixPrefix(s, len, max, words);
|
||||
}
|
||||
}
|
||||
|
||||
private Collection<String> doSuffixPrefix(String s, int len, int max, int words) {
|
||||
final Set<String> bigrams = Sets.newLinkedHashSet();
|
||||
int i = 0;
|
||||
while (++i < s.length() && bigrams.size() < max) {
|
||||
int j = s.indexOf(" ", i);
|
||||
|
||||
int offset = j + len + 1 < s.length() ? j + len + 1 : s.length();
|
||||
|
||||
if (j - len > 0) {
|
||||
String bigram = s.substring(j - len, offset).replaceAll(" ", "").trim();
|
||||
if (bigram.length() >= 4) {
|
||||
bigrams.add(words + bigram);
|
||||
}
|
||||
}
|
||||
}
|
||||
return bigrams;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,367 @@
|
|||
|
||||
package eu.dnetlib.pace.common;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.io.StringWriter;
|
||||
import java.nio.charset.StandardCharsets;
|
||||
import java.text.Normalizer;
|
||||
import java.util.*;
|
||||
import java.util.regex.Matcher;
|
||||
import java.util.regex.Pattern;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
|
||||
import com.google.common.base.Joiner;
|
||||
import com.google.common.base.Splitter;
|
||||
import com.google.common.collect.Iterables;
|
||||
import com.google.common.collect.Sets;
|
||||
import com.ibm.icu.text.Transliterator;
|
||||
|
||||
import eu.dnetlib.pace.clustering.NGramUtils;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.model.FieldList;
|
||||
import eu.dnetlib.pace.model.FieldListImpl;
|
||||
|
||||
/**
|
||||
* Set of common functions for the framework
|
||||
*
|
||||
* @author claudio
|
||||
*/
|
||||
public abstract class AbstractPaceFunctions {
|
||||
|
||||
// city map to be used when translating the city names into codes
|
||||
private static Map<String, String> cityMap = AbstractPaceFunctions
|
||||
.loadMapFromClasspath("/eu/dnetlib/pace/config/city_map.csv");
|
||||
|
||||
// list of stopwords in different languages
|
||||
protected static Set<String> stopwords_gr = loadFromClasspath("/eu/dnetlib/pace/config/stopwords_gr.txt");
|
||||
protected static Set<String> stopwords_en = loadFromClasspath("/eu/dnetlib/pace/config/stopwords_en.txt");
|
||||
protected static Set<String> stopwords_de = loadFromClasspath("/eu/dnetlib/pace/config/stopwords_de.txt");
|
||||
protected static Set<String> stopwords_es = loadFromClasspath("/eu/dnetlib/pace/config/stopwords_es.txt");
|
||||
protected static Set<String> stopwords_fr = loadFromClasspath("/eu/dnetlib/pace/config/stopwords_fr.txt");
|
||||
protected static Set<String> stopwords_it = loadFromClasspath("/eu/dnetlib/pace/config/stopwords_it.txt");
|
||||
protected static Set<String> stopwords_pt = loadFromClasspath("/eu/dnetlib/pace/config/stopwords_pt.txt");
|
||||
|
||||
// transliterator
|
||||
protected static Transliterator transliterator = Transliterator.getInstance("Any-Eng");
|
||||
|
||||
// blacklist of ngrams: to avoid generic keys
|
||||
protected static Set<String> ngramBlacklist = loadFromClasspath("/eu/dnetlib/pace/config/ngram_blacklist.txt");
|
||||
|
||||
// html regex for normalization
|
||||
public final String HTML_REGEX = "<[^>]*>";
|
||||
|
||||
private static final String alpha = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 ";
|
||||
private static final String aliases_from = "⁰¹²³⁴⁵⁶⁷⁸⁹⁺⁻⁼⁽⁾ⁿ₀₁₂₃₄₅₆₇₈₉₊₋₌₍₎àáâäæãåāèéêëēėęəîïíīįìôöòóœøōõûüùúūßśšłžźżçćčñń";
|
||||
private static final String aliases_to = "0123456789+-=()n0123456789+-=()aaaaaaaaeeeeeeeeiiiiiioooooooouuuuussslzzzcccnn";
|
||||
|
||||
// doi prefix for normalization
|
||||
public final String DOI_PREFIX = "(https?:\\/\\/dx\\.doi\\.org\\/)|(doi:)";
|
||||
|
||||
private Pattern numberPattern = Pattern.compile("-?\\d+(\\.\\d+)?");
|
||||
|
||||
private Pattern hexUnicodePattern = Pattern.compile("\\\\u(\\p{XDigit}{4})");
|
||||
|
||||
protected final static FieldList EMPTY_FIELD = new FieldListImpl();
|
||||
|
||||
protected String concat(final List<String> l) {
|
||||
return Joiner.on(" ").skipNulls().join(l);
|
||||
}
|
||||
|
||||
protected String cleanup(final String s) {
|
||||
|
||||
final String s1 = s.replaceAll(HTML_REGEX, "");
|
||||
final String s2 = unicodeNormalization(s1.toLowerCase());
|
||||
final String s3 = nfd(s2);
|
||||
final String s4 = fixXML(s3);
|
||||
final String s5 = s4.replaceAll("([0-9]+)", " $1 ");
|
||||
final String s6 = transliterate(s5);
|
||||
final String s7 = fixAliases(s6);
|
||||
final String s8 = s7.replaceAll("[^\\p{ASCII}]", "");
|
||||
final String s9 = s8.replaceAll("[\\p{Punct}]", " ");
|
||||
final String s10 = s9.replaceAll("\\n", " ");
|
||||
final String s11 = s10.replaceAll("(?m)\\s+", " ");
|
||||
final String s12 = s11.trim();
|
||||
return s12;
|
||||
}
|
||||
|
||||
protected String fixXML(final String a) {
|
||||
|
||||
return a
|
||||
.replaceAll("–", " ")
|
||||
.replaceAll("&", " ")
|
||||
.replaceAll(""", " ")
|
||||
.replaceAll("−", " ");
|
||||
}
|
||||
|
||||
protected boolean checkNumbers(final String a, final String b) {
|
||||
final String numbersA = getNumbers(a);
|
||||
final String numbersB = getNumbers(b);
|
||||
final String romansA = getRomans(a);
|
||||
final String romansB = getRomans(b);
|
||||
return !numbersA.equals(numbersB) || !romansA.equals(romansB);
|
||||
}
|
||||
|
||||
protected String getRomans(final String s) {
|
||||
final StringBuilder sb = new StringBuilder();
|
||||
for (final String t : s.split(" ")) {
|
||||
sb.append(isRoman(t) ? t : "");
|
||||
}
|
||||
return sb.toString();
|
||||
}
|
||||
|
||||
protected boolean isRoman(final String s) {
|
||||
return s
|
||||
.replaceAll("^M{0,4}(CM|CD|D?C{0,3})(XC|XL|L?X{0,3})(IX|IV|V?I{0,3})$", "qwertyuiop")
|
||||
.equals("qwertyuiop");
|
||||
}
|
||||
|
||||
protected String getNumbers(final String s) {
|
||||
final StringBuilder sb = new StringBuilder();
|
||||
for (final String t : s.split(" ")) {
|
||||
sb.append(isNumber(t) ? t : "");
|
||||
}
|
||||
return sb.toString();
|
||||
}
|
||||
|
||||
public boolean isNumber(String strNum) {
|
||||
if (strNum == null) {
|
||||
return false;
|
||||
}
|
||||
return numberPattern.matcher(strNum).matches();
|
||||
}
|
||||
|
||||
protected static String fixAliases(final String s) {
|
||||
final StringBuilder sb = new StringBuilder();
|
||||
|
||||
s.chars().forEach(ch -> {
|
||||
final int i = StringUtils.indexOf(aliases_from, ch);
|
||||
sb.append(i >= 0 ? aliases_to.charAt(i) : (char) ch);
|
||||
});
|
||||
|
||||
return sb.toString();
|
||||
}
|
||||
|
||||
protected static String transliterate(final String s) {
|
||||
try {
|
||||
return transliterator.transliterate(s);
|
||||
} catch (Exception e) {
|
||||
return s;
|
||||
}
|
||||
}
|
||||
|
||||
protected String removeSymbols(final String s) {
|
||||
final StringBuilder sb = new StringBuilder();
|
||||
|
||||
s.chars().forEach(ch -> {
|
||||
sb.append(StringUtils.contains(alpha, ch) ? (char) ch : ' ');
|
||||
});
|
||||
|
||||
return sb.toString().replaceAll("\\s+", " ");
|
||||
}
|
||||
|
||||
protected String getFirstValue(final Field values) {
|
||||
return (values != null) && !Iterables.isEmpty(values) ? Iterables.getFirst(values, EMPTY_FIELD).stringValue()
|
||||
: "";
|
||||
}
|
||||
|
||||
protected boolean notNull(final String s) {
|
||||
return s != null;
|
||||
}
|
||||
|
||||
protected String normalize(final String s) {
|
||||
return fixAliases(transliterate(nfd(unicodeNormalization(s))))
|
||||
.toLowerCase()
|
||||
// do not compact the regexes in a single expression, would cause StackOverflowError in case of large input
|
||||
// strings
|
||||
.replaceAll("[^ \\w]+", "")
|
||||
.replaceAll("(\\p{InCombiningDiacriticalMarks})+", "")
|
||||
.replaceAll("(\\p{Punct})+", " ")
|
||||
.replaceAll("(\\d)+", " ")
|
||||
.replaceAll("(\\n)+", " ")
|
||||
.trim();
|
||||
}
|
||||
|
||||
public String nfd(final String s) {
|
||||
return Normalizer.normalize(s, Normalizer.Form.NFD);
|
||||
}
|
||||
|
||||
public String utf8(final String s) {
|
||||
byte[] bytes = s.getBytes(StandardCharsets.UTF_8);
|
||||
return new String(bytes, StandardCharsets.UTF_8);
|
||||
}
|
||||
|
||||
public String unicodeNormalization(final String s) {
|
||||
|
||||
Matcher m = hexUnicodePattern.matcher(s);
|
||||
StringBuffer buf = new StringBuffer(s.length());
|
||||
while (m.find()) {
|
||||
String ch = String.valueOf((char) Integer.parseInt(m.group(1), 16));
|
||||
m.appendReplacement(buf, Matcher.quoteReplacement(ch));
|
||||
}
|
||||
m.appendTail(buf);
|
||||
return buf.toString();
|
||||
}
|
||||
|
||||
protected String filterStopWords(final String s, final Set<String> stopwords) {
|
||||
final StringTokenizer st = new StringTokenizer(s);
|
||||
final StringBuilder sb = new StringBuilder();
|
||||
while (st.hasMoreTokens()) {
|
||||
final String token = st.nextToken();
|
||||
if (!stopwords.contains(token)) {
|
||||
sb.append(token);
|
||||
sb.append(" ");
|
||||
}
|
||||
}
|
||||
return sb.toString().trim();
|
||||
}
|
||||
|
||||
public String filterAllStopWords(String s) {
|
||||
|
||||
s = filterStopWords(s, stopwords_en);
|
||||
s = filterStopWords(s, stopwords_de);
|
||||
s = filterStopWords(s, stopwords_it);
|
||||
s = filterStopWords(s, stopwords_fr);
|
||||
s = filterStopWords(s, stopwords_pt);
|
||||
s = filterStopWords(s, stopwords_es);
|
||||
s = filterStopWords(s, stopwords_gr);
|
||||
|
||||
return s;
|
||||
}
|
||||
|
||||
protected Collection<String> filterBlacklisted(final Collection<String> set, final Set<String> ngramBlacklist) {
|
||||
final Set<String> newset = Sets.newLinkedHashSet();
|
||||
for (final String s : set) {
|
||||
if (!ngramBlacklist.contains(s)) {
|
||||
newset.add(s);
|
||||
}
|
||||
}
|
||||
return newset;
|
||||
}
|
||||
|
||||
public static Set<String> loadFromClasspath(final String classpath) {
|
||||
|
||||
Transliterator transliterator = Transliterator.getInstance("Any-Eng");
|
||||
|
||||
final Set<String> h = Sets.newHashSet();
|
||||
try {
|
||||
for (final String s : IOUtils
|
||||
.readLines(NGramUtils.class.getResourceAsStream(classpath), StandardCharsets.UTF_8)) {
|
||||
h.add(fixAliases(transliterator.transliterate(s))); // transliteration of the stopwords
|
||||
}
|
||||
} catch (final Throwable e) {
|
||||
return Sets.newHashSet();
|
||||
}
|
||||
return h;
|
||||
}
|
||||
|
||||
public static Map<String, String> loadMapFromClasspath(final String classpath) {
|
||||
|
||||
Transliterator transliterator = Transliterator.getInstance("Any-Eng");
|
||||
|
||||
final Map<String, String> m = new HashMap<>();
|
||||
try {
|
||||
for (final String s : IOUtils
|
||||
.readLines(AbstractPaceFunctions.class.getResourceAsStream(classpath), StandardCharsets.UTF_8)) {
|
||||
// string is like this: code;word1;word2;word3
|
||||
String[] line = s.split(";");
|
||||
String value = line[0];
|
||||
for (int i = 1; i < line.length; i++) {
|
||||
m.put(fixAliases(transliterator.transliterate(line[i].toLowerCase())), value);
|
||||
}
|
||||
}
|
||||
} catch (final Throwable e) {
|
||||
return new HashMap<>();
|
||||
}
|
||||
return m;
|
||||
}
|
||||
|
||||
public String removeKeywords(String s, Set<String> keywords) {
|
||||
|
||||
s = " " + s + " ";
|
||||
for (String k : keywords) {
|
||||
s = s.replaceAll(k.toLowerCase(), "");
|
||||
}
|
||||
|
||||
return s.trim();
|
||||
}
|
||||
|
||||
public double commonElementsPercentage(Set<String> s1, Set<String> s2) {
|
||||
|
||||
double longer = Math.max(s1.size(), s2.size());
|
||||
return (double) s1.stream().filter(s2::contains).count() / longer;
|
||||
}
|
||||
|
||||
// convert the set of keywords to codes
|
||||
public Set<String> toCodes(Set<String> keywords, Map<String, String> translationMap) {
|
||||
return keywords.stream().map(s -> translationMap.get(s)).collect(Collectors.toSet());
|
||||
}
|
||||
|
||||
public Set<String> keywordsToCodes(Set<String> keywords, Map<String, String> translationMap) {
|
||||
return toCodes(keywords, translationMap);
|
||||
}
|
||||
|
||||
public Set<String> citiesToCodes(Set<String> keywords) {
|
||||
return toCodes(keywords, cityMap);
|
||||
}
|
||||
|
||||
protected String firstLC(final String s) {
|
||||
return StringUtils.substring(s, 0, 1).toLowerCase();
|
||||
}
|
||||
|
||||
protected Iterable<String> tokens(final String s, final int maxTokens) {
|
||||
return Iterables.limit(Splitter.on(" ").omitEmptyStrings().trimResults().split(s), maxTokens);
|
||||
}
|
||||
|
||||
public String normalizePid(String pid) {
|
||||
return pid.toLowerCase().replaceAll(DOI_PREFIX, "");
|
||||
}
|
||||
|
||||
// get the list of keywords into the input string
|
||||
public Set<String> getKeywords(String s1, Map<String, String> translationMap, int windowSize) {
|
||||
|
||||
String s = s1;
|
||||
|
||||
List<String> tokens = Arrays.asList(s.toLowerCase().split(" "));
|
||||
|
||||
Set<String> codes = new HashSet<>();
|
||||
|
||||
if (tokens.size() < windowSize)
|
||||
windowSize = tokens.size();
|
||||
|
||||
int length = windowSize;
|
||||
|
||||
while (length != 0) {
|
||||
|
||||
for (int i = 0; i <= tokens.size() - length; i++) {
|
||||
String candidate = concat(tokens.subList(i, i + length));
|
||||
if (translationMap.containsKey(candidate)) {
|
||||
codes.add(candidate);
|
||||
s = s.replace(candidate, "").trim();
|
||||
}
|
||||
}
|
||||
|
||||
tokens = Arrays.asList(s.split(" "));
|
||||
length -= 1;
|
||||
}
|
||||
|
||||
return codes;
|
||||
}
|
||||
|
||||
public Set<String> getCities(String s1, int windowSize) {
|
||||
return getKeywords(s1, cityMap, windowSize);
|
||||
}
|
||||
|
||||
public static <T> String readFromClasspath(final String filename, final Class<T> clazz) {
|
||||
final StringWriter sw = new StringWriter();
|
||||
try {
|
||||
IOUtils.copy(clazz.getResourceAsStream(filename), sw, StandardCharsets.UTF_8);
|
||||
return sw.toString();
|
||||
} catch (final IOException e) {
|
||||
throw new RuntimeException("cannot load resource from classpath: " + filename);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,60 @@
|
|||
|
||||
package eu.dnetlib.pace.config;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.regex.Pattern;
|
||||
|
||||
import eu.dnetlib.pace.model.ClusteringDef;
|
||||
import eu.dnetlib.pace.model.FieldDef;
|
||||
import eu.dnetlib.pace.tree.support.TreeNodeDef;
|
||||
|
||||
/**
|
||||
* Interface for PACE configuration bean.
|
||||
*
|
||||
* @author claudio
|
||||
*/
|
||||
public interface Config {
|
||||
|
||||
/**
|
||||
* Field configuration definitions.
|
||||
*
|
||||
* @return the list of definitions
|
||||
*/
|
||||
public List<FieldDef> model();
|
||||
|
||||
/**
|
||||
* Decision Tree definition
|
||||
*
|
||||
* @return the map representing the decision tree
|
||||
*/
|
||||
public Map<String, TreeNodeDef> decisionTree();
|
||||
|
||||
/**
|
||||
* Field configuration definitions.
|
||||
*
|
||||
* @return the list of definitions
|
||||
*/
|
||||
public Map<String, FieldDef> modelMap();
|
||||
|
||||
/**
|
||||
* Clusterings.
|
||||
*
|
||||
* @return the list
|
||||
*/
|
||||
public List<ClusteringDef> clusterings();
|
||||
|
||||
/**
|
||||
* Blacklists.
|
||||
*
|
||||
* @return the map
|
||||
*/
|
||||
public Map<String, List<Pattern>> blacklists();
|
||||
|
||||
/**
|
||||
* Translation map.
|
||||
*
|
||||
* @return the map
|
||||
* */
|
||||
public Map<String, String> translationMap();
|
||||
}
|
|
@ -0,0 +1,175 @@
|
|||
|
||||
package eu.dnetlib.pace.config;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.io.Serializable;
|
||||
import java.nio.charset.StandardCharsets;
|
||||
import java.util.HashMap;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Map.Entry;
|
||||
import java.util.regex.Pattern;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import org.antlr.stringtemplate.StringTemplate;
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
import org.apache.commons.logging.Log;
|
||||
import org.apache.commons.logging.LogFactory;
|
||||
|
||||
import com.fasterxml.jackson.annotation.JsonIgnore;
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import com.google.common.collect.Maps;
|
||||
|
||||
import eu.dnetlib.pace.model.ClusteringDef;
|
||||
import eu.dnetlib.pace.model.FieldDef;
|
||||
import eu.dnetlib.pace.tree.support.TreeNodeDef;
|
||||
import eu.dnetlib.pace.util.PaceException;
|
||||
|
||||
public class DedupConfig implements Config, Serializable {
|
||||
|
||||
private static final Log log = LogFactory.getLog(DedupConfig.class);
|
||||
|
||||
private static String CONFIG_TEMPLATE = "dedupConfig.st";
|
||||
|
||||
private PaceConfig pace;
|
||||
|
||||
private WfConfig wf;
|
||||
|
||||
@JsonIgnore
|
||||
private Map<String, List<Pattern>> blacklists;
|
||||
|
||||
private static Map<String, String> defaults = Maps.newHashMap();
|
||||
|
||||
static {
|
||||
defaults.put("dedupRun", "001");
|
||||
defaults.put("entityType", "result");
|
||||
defaults.put("subEntityType", "resulttype");
|
||||
defaults.put("subEntityValue", "publication");
|
||||
defaults.put("orderField", "title");
|
||||
defaults.put("queueMaxSize", "2000");
|
||||
defaults.put("groupMaxSize", "10");
|
||||
defaults.put("slidingWindowSize", "200");
|
||||
defaults.put("rootBuilder", "result");
|
||||
defaults.put("includeChildren", "true");
|
||||
defaults.put("maxIterations", "20");
|
||||
defaults.put("idPath", "$.id");
|
||||
}
|
||||
|
||||
public DedupConfig() {
|
||||
}
|
||||
|
||||
public static DedupConfig load(final String json) {
|
||||
|
||||
final DedupConfig config;
|
||||
try {
|
||||
config = new ObjectMapper().readValue(json, DedupConfig.class);
|
||||
config.getPace().initModel();
|
||||
config.getPace().initTranslationMap();
|
||||
|
||||
config.blacklists = config
|
||||
.getPace()
|
||||
.getBlacklists()
|
||||
.entrySet()
|
||||
.stream()
|
||||
.collect(
|
||||
Collectors
|
||||
.toMap(
|
||||
e -> e.getKey(),
|
||||
e -> e
|
||||
.getValue()
|
||||
.stream()
|
||||
.filter(s -> !StringUtils.isBlank(s))
|
||||
.map(Pattern::compile)
|
||||
.collect(Collectors.toList())));
|
||||
|
||||
return config;
|
||||
} catch (IOException e) {
|
||||
throw new PaceException("Error in parsing configuration json", e);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
public static DedupConfig loadDefault() throws IOException {
|
||||
return loadDefault(new HashMap<String, String>());
|
||||
}
|
||||
|
||||
public static DedupConfig loadDefault(final Map<String, String> params) throws IOException {
|
||||
|
||||
final StringTemplate template = new StringTemplate(new DedupConfig().readFromClasspath(CONFIG_TEMPLATE));
|
||||
|
||||
for (final Entry<String, String> e : defaults.entrySet()) {
|
||||
template.setAttribute(e.getKey(), e.getValue());
|
||||
}
|
||||
for (final Entry<String, String> e : params.entrySet()) {
|
||||
if (template.getAttribute(e.getKey()) != null) {
|
||||
template.getAttributes().computeIfPresent(e.getKey(), (o, o2) -> e.getValue());
|
||||
} else {
|
||||
template.setAttribute(e.getKey(), e.getValue());
|
||||
}
|
||||
}
|
||||
|
||||
final String json = template.toString();
|
||||
return load(json);
|
||||
}
|
||||
|
||||
private String readFromClasspath(final String resource) throws IOException {
|
||||
return IOUtils.toString(getClass().getResource(resource), StandardCharsets.UTF_8);
|
||||
}
|
||||
|
||||
public PaceConfig getPace() {
|
||||
return pace;
|
||||
}
|
||||
|
||||
public void setPace(final PaceConfig pace) {
|
||||
this.pace = pace;
|
||||
}
|
||||
|
||||
public WfConfig getWf() {
|
||||
return wf;
|
||||
}
|
||||
|
||||
public void setWf(final WfConfig wf) {
|
||||
this.wf = wf;
|
||||
}
|
||||
|
||||
@Override
|
||||
public String toString() {
|
||||
try {
|
||||
return new ObjectMapper().writeValueAsString(this);
|
||||
} catch (IOException e) {
|
||||
throw new PaceException("unable to serialise configuration", e);
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public Map<String, TreeNodeDef> decisionTree() {
|
||||
return getPace().getDecisionTree();
|
||||
}
|
||||
|
||||
@Override
|
||||
public List<FieldDef> model() {
|
||||
return getPace().getModel();
|
||||
}
|
||||
|
||||
@Override
|
||||
public Map<String, FieldDef> modelMap() {
|
||||
return getPace().getModelMap();
|
||||
}
|
||||
|
||||
@Override
|
||||
public List<ClusteringDef> clusterings() {
|
||||
return getPace().getClustering();
|
||||
}
|
||||
|
||||
@Override
|
||||
public Map<String, List<Pattern>> blacklists() {
|
||||
return blacklists;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Map<String, String> translationMap() {
|
||||
return getPace().translationMap();
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,113 @@
|
|||
|
||||
package eu.dnetlib.pace.config;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
import com.fasterxml.jackson.annotation.JsonIgnore;
|
||||
import com.google.common.collect.Maps;
|
||||
import com.ibm.icu.text.Transliterator;
|
||||
|
||||
import eu.dnetlib.pace.common.AbstractPaceFunctions;
|
||||
import eu.dnetlib.pace.model.ClusteringDef;
|
||||
import eu.dnetlib.pace.model.FieldDef;
|
||||
import eu.dnetlib.pace.tree.support.TreeNodeDef;
|
||||
import eu.dnetlib.pace.util.PaceResolver;
|
||||
|
||||
public class PaceConfig extends AbstractPaceFunctions implements Serializable {
|
||||
|
||||
private List<FieldDef> model;
|
||||
|
||||
private List<ClusteringDef> clustering;
|
||||
private Map<String, TreeNodeDef> decisionTree;
|
||||
|
||||
private Map<String, List<String>> blacklists;
|
||||
private Map<String, List<String>> synonyms;
|
||||
|
||||
@JsonIgnore
|
||||
private Map<String, String> translationMap;
|
||||
|
||||
@JsonIgnore
|
||||
private Map<String, FieldDef> modelMap;
|
||||
|
||||
@JsonIgnore
|
||||
public static PaceResolver resolver = new PaceResolver();
|
||||
|
||||
public PaceConfig() {
|
||||
}
|
||||
|
||||
public void initModel() {
|
||||
modelMap = Maps.newHashMap();
|
||||
for (FieldDef fd : getModel()) {
|
||||
modelMap.put(fd.getName(), fd);
|
||||
}
|
||||
}
|
||||
|
||||
public void initTranslationMap() {
|
||||
translationMap = Maps.newHashMap();
|
||||
|
||||
Transliterator transliterator = Transliterator.getInstance("Any-Eng");
|
||||
for (String key : synonyms.keySet()) {
|
||||
for (String term : synonyms.get(key)) {
|
||||
translationMap
|
||||
.put(
|
||||
fixAliases(transliterator.transliterate(term.toLowerCase())),
|
||||
key);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public Map<String, String> translationMap() {
|
||||
return translationMap;
|
||||
}
|
||||
|
||||
public List<FieldDef> getModel() {
|
||||
return model;
|
||||
}
|
||||
|
||||
public void setModel(final List<FieldDef> model) {
|
||||
this.model = model;
|
||||
}
|
||||
|
||||
public List<ClusteringDef> getClustering() {
|
||||
return clustering;
|
||||
}
|
||||
|
||||
public void setClustering(final List<ClusteringDef> clustering) {
|
||||
this.clustering = clustering;
|
||||
}
|
||||
|
||||
public Map<String, TreeNodeDef> getDecisionTree() {
|
||||
return decisionTree;
|
||||
}
|
||||
|
||||
public void setDecisionTree(Map<String, TreeNodeDef> decisionTree) {
|
||||
this.decisionTree = decisionTree;
|
||||
}
|
||||
|
||||
public Map<String, List<String>> getBlacklists() {
|
||||
return blacklists;
|
||||
}
|
||||
|
||||
public void setBlacklists(final Map<String, List<String>> blacklists) {
|
||||
this.blacklists = blacklists;
|
||||
}
|
||||
|
||||
public Map<String, List<String>> getSynonyms() {
|
||||
return synonyms;
|
||||
}
|
||||
|
||||
public void setSynonyms(Map<String, List<String>> synonyms) {
|
||||
this.synonyms = synonyms;
|
||||
}
|
||||
|
||||
public Map<String, FieldDef> getModelMap() {
|
||||
return modelMap;
|
||||
}
|
||||
|
||||
public void setModelMap(final Map<String, FieldDef> modelMap) {
|
||||
this.modelMap = modelMap;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,6 @@
|
|||
|
||||
package eu.dnetlib.pace.config;
|
||||
|
||||
public enum Type {
|
||||
String, Int, List, JSON, URL, StringConcat, DoubleArray
|
||||
}
|
|
@ -0,0 +1,294 @@
|
|||
|
||||
package eu.dnetlib.pace.config;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.io.Serializable;
|
||||
import java.util.HashSet;
|
||||
import java.util.List;
|
||||
import java.util.Set;
|
||||
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import com.google.common.collect.Lists;
|
||||
import com.google.common.collect.Sets;
|
||||
|
||||
import eu.dnetlib.pace.util.PaceException;
|
||||
|
||||
public class WfConfig implements Serializable {
|
||||
|
||||
/**
|
||||
* Entity type.
|
||||
*/
|
||||
private String entityType = "";
|
||||
|
||||
/**
|
||||
* Sub-Entity type refers to one of fields declared in the model. See eu.dnetlib.pace.config.PaceConfig.modelMap
|
||||
*/
|
||||
private String subEntityType = "";
|
||||
|
||||
/**
|
||||
* Sub-Entity value declares a value for subTypes to be considered.
|
||||
*/
|
||||
private String subEntityValue = "";
|
||||
|
||||
/**
|
||||
* Field name used to sort the values in the reducer phase.
|
||||
*/
|
||||
private String orderField = "";
|
||||
|
||||
/**
|
||||
* Column Families involved in the relations redirection.
|
||||
*/
|
||||
private List<String> rootBuilder = Lists.newArrayList();
|
||||
|
||||
/**
|
||||
* Set of datasource namespace prefixes that won't be deduplicated.
|
||||
*/
|
||||
private Set<String> skipList = Sets.newHashSet();
|
||||
|
||||
/**
|
||||
* Subprefix used to build the root id, allows multiple dedup runs.
|
||||
*/
|
||||
private String dedupRun = "";
|
||||
|
||||
/**
|
||||
* Similarity threshold.
|
||||
*/
|
||||
private double threshold = 0;
|
||||
|
||||
/** The queue max size. */
|
||||
private int queueMaxSize = 2000;
|
||||
|
||||
/** The group max size. */
|
||||
private int groupMaxSize;
|
||||
|
||||
/** The sliding window size. */
|
||||
private int slidingWindowSize;
|
||||
|
||||
/** The configuration id. */
|
||||
private String configurationId;
|
||||
|
||||
/** The include children. */
|
||||
private boolean includeChildren;
|
||||
|
||||
/** Default maximum number of allowed children. */
|
||||
private final static int MAX_CHILDREN = 10;
|
||||
|
||||
/** Maximum number of allowed children. */
|
||||
private int maxChildren = MAX_CHILDREN;
|
||||
|
||||
/** Default maximum number of iterations. */
|
||||
private final static int MAX_ITERATIONS = 20;
|
||||
|
||||
/** Maximum number of iterations */
|
||||
private int maxIterations = MAX_ITERATIONS;
|
||||
|
||||
/** The Jquery path to retrieve the identifier */
|
||||
private String idPath = "$.id";
|
||||
|
||||
public WfConfig() {
|
||||
}
|
||||
|
||||
/**
|
||||
* Instantiates a new dedup config.
|
||||
*
|
||||
* @param entityType
|
||||
* the entity type
|
||||
* @param orderField
|
||||
* the order field
|
||||
* @param rootBuilder
|
||||
* the root builder families
|
||||
* @param dedupRun
|
||||
* the dedup run
|
||||
* @param skipList
|
||||
* the skip list
|
||||
* @param queueMaxSize
|
||||
* the queue max size
|
||||
* @param groupMaxSize
|
||||
* the group max size
|
||||
* @param slidingWindowSize
|
||||
* the sliding window size
|
||||
* @param includeChildren
|
||||
* allows the children to be included in the representative records or not.
|
||||
* @param maxIterations
|
||||
* the maximum number of iterations
|
||||
* @param idPath
|
||||
* the path for the id of the entity
|
||||
*/
|
||||
public WfConfig(final String entityType, final String orderField, final List<String> rootBuilder,
|
||||
final String dedupRun,
|
||||
final Set<String> skipList, final int queueMaxSize, final int groupMaxSize, final int slidingWindowSize,
|
||||
final boolean includeChildren, final int maxIterations, final String idPath) {
|
||||
super();
|
||||
this.entityType = entityType;
|
||||
this.orderField = orderField;
|
||||
this.rootBuilder = rootBuilder;
|
||||
this.dedupRun = cleanupStringNumber(dedupRun);
|
||||
this.skipList = skipList;
|
||||
this.queueMaxSize = queueMaxSize;
|
||||
this.groupMaxSize = groupMaxSize;
|
||||
this.slidingWindowSize = slidingWindowSize;
|
||||
this.includeChildren = includeChildren;
|
||||
this.maxIterations = maxIterations;
|
||||
this.idPath = idPath;
|
||||
}
|
||||
|
||||
/**
|
||||
* Cleanup string number.
|
||||
*
|
||||
* @param s
|
||||
* the s
|
||||
* @return the string
|
||||
*/
|
||||
private String cleanupStringNumber(final String s) {
|
||||
return s.contains("'") ? s.replaceAll("'", "") : s;
|
||||
}
|
||||
|
||||
public boolean hasSubType() {
|
||||
return StringUtils.isNotBlank(getSubEntityType()) && StringUtils.isNotBlank(getSubEntityValue());
|
||||
}
|
||||
|
||||
public String getEntityType() {
|
||||
return entityType;
|
||||
}
|
||||
|
||||
public void setEntityType(final String entityType) {
|
||||
this.entityType = entityType;
|
||||
}
|
||||
|
||||
public String getSubEntityType() {
|
||||
return subEntityType;
|
||||
}
|
||||
|
||||
public void setSubEntityType(final String subEntityType) {
|
||||
this.subEntityType = subEntityType;
|
||||
}
|
||||
|
||||
public String getSubEntityValue() {
|
||||
return subEntityValue;
|
||||
}
|
||||
|
||||
public void setSubEntityValue(final String subEntityValue) {
|
||||
this.subEntityValue = subEntityValue;
|
||||
}
|
||||
|
||||
public String getOrderField() {
|
||||
return orderField;
|
||||
}
|
||||
|
||||
public void setOrderField(final String orderField) {
|
||||
this.orderField = orderField;
|
||||
}
|
||||
|
||||
public List<String> getRootBuilder() {
|
||||
return rootBuilder;
|
||||
}
|
||||
|
||||
public void setRootBuilder(final List<String> rootBuilder) {
|
||||
this.rootBuilder = rootBuilder;
|
||||
}
|
||||
|
||||
public Set<String> getSkipList() {
|
||||
return skipList != null ? skipList : new HashSet<String>();
|
||||
}
|
||||
|
||||
public void setSkipList(final Set<String> skipList) {
|
||||
this.skipList = skipList;
|
||||
}
|
||||
|
||||
public String getDedupRun() {
|
||||
return dedupRun;
|
||||
}
|
||||
|
||||
public void setDedupRun(final String dedupRun) {
|
||||
this.dedupRun = dedupRun;
|
||||
}
|
||||
|
||||
public double getThreshold() {
|
||||
return threshold;
|
||||
}
|
||||
|
||||
public void setThreshold(final double threshold) {
|
||||
this.threshold = threshold;
|
||||
}
|
||||
|
||||
public int getQueueMaxSize() {
|
||||
return queueMaxSize;
|
||||
}
|
||||
|
||||
public void setQueueMaxSize(final int queueMaxSize) {
|
||||
this.queueMaxSize = queueMaxSize;
|
||||
}
|
||||
|
||||
public int getGroupMaxSize() {
|
||||
return groupMaxSize;
|
||||
}
|
||||
|
||||
public void setGroupMaxSize(final int groupMaxSize) {
|
||||
this.groupMaxSize = groupMaxSize;
|
||||
}
|
||||
|
||||
public int getSlidingWindowSize() {
|
||||
return slidingWindowSize;
|
||||
}
|
||||
|
||||
public void setSlidingWindowSize(final int slidingWindowSize) {
|
||||
this.slidingWindowSize = slidingWindowSize;
|
||||
}
|
||||
|
||||
public String getConfigurationId() {
|
||||
return configurationId;
|
||||
}
|
||||
|
||||
public void setConfigurationId(final String configurationId) {
|
||||
this.configurationId = configurationId;
|
||||
}
|
||||
|
||||
public boolean isIncludeChildren() {
|
||||
return includeChildren;
|
||||
}
|
||||
|
||||
public void setIncludeChildren(final boolean includeChildren) {
|
||||
this.includeChildren = includeChildren;
|
||||
}
|
||||
|
||||
public int getMaxChildren() {
|
||||
return maxChildren;
|
||||
}
|
||||
|
||||
public void setMaxChildren(final int maxChildren) {
|
||||
this.maxChildren = maxChildren;
|
||||
}
|
||||
|
||||
public int getMaxIterations() {
|
||||
return maxIterations;
|
||||
}
|
||||
|
||||
public void setMaxIterations(int maxIterations) {
|
||||
this.maxIterations = maxIterations;
|
||||
}
|
||||
|
||||
public String getIdPath() {
|
||||
return idPath;
|
||||
}
|
||||
|
||||
public void setIdPath(String idPath) {
|
||||
this.idPath = idPath;
|
||||
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.lang.Object#toString()
|
||||
*/
|
||||
@Override
|
||||
public String toString() {
|
||||
try {
|
||||
return new ObjectMapper().writeValueAsString(this);
|
||||
} catch (IOException e) {
|
||||
throw new PaceException("unable to serialise " + this.getClass().getName(), e);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,72 @@
|
|||
|
||||
package eu.dnetlib.pace.model;
|
||||
|
||||
import eu.dnetlib.pace.config.Type;
|
||||
|
||||
/**
|
||||
* The Class AbstractField.
|
||||
*/
|
||||
public abstract class AbstractField implements Field {
|
||||
|
||||
/** The type. */
|
||||
protected Type type = Type.String;
|
||||
|
||||
/** The name. */
|
||||
protected String name;
|
||||
|
||||
/**
|
||||
* Instantiates a new abstract field.
|
||||
*/
|
||||
protected AbstractField() {
|
||||
}
|
||||
|
||||
/**
|
||||
* Instantiates a new abstract field.
|
||||
*
|
||||
* @param type
|
||||
* the type
|
||||
* @param name
|
||||
* the name
|
||||
*/
|
||||
protected AbstractField(final Type type, final String name) {
|
||||
this.type = type;
|
||||
this.name = name;
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.model.Field#getName()
|
||||
*/
|
||||
@Override
|
||||
public String getName() {
|
||||
return name;
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.model.Field#getType()
|
||||
*/
|
||||
@Override
|
||||
public Type getType() {
|
||||
return type;
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.model.Field#setName(java.lang.String)
|
||||
*/
|
||||
@Override
|
||||
public void setName(final String name) {
|
||||
this.name = name;
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.model.Field#setType(eu.dnetlib.pace.config.Type)
|
||||
*/
|
||||
@Override
|
||||
public void setType(final Type type) {
|
||||
this.type = type;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,63 @@
|
|||
|
||||
package eu.dnetlib.pace.model;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.io.Serializable;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
|
||||
import eu.dnetlib.pace.clustering.ClusteringFunction;
|
||||
import eu.dnetlib.pace.config.PaceConfig;
|
||||
import eu.dnetlib.pace.util.PaceException;
|
||||
|
||||
public class ClusteringDef implements Serializable {
|
||||
|
||||
private String name;
|
||||
|
||||
private List<String> fields;
|
||||
|
||||
private Map<String, Integer> params;
|
||||
|
||||
public ClusteringDef() {
|
||||
}
|
||||
|
||||
public String getName() {
|
||||
return name;
|
||||
}
|
||||
|
||||
public void setName(final String name) {
|
||||
this.name = name;
|
||||
}
|
||||
|
||||
public ClusteringFunction clusteringFunction() {
|
||||
return PaceConfig.resolver.getClusteringFunction(getName(), params);
|
||||
}
|
||||
|
||||
public List<String> getFields() {
|
||||
return fields;
|
||||
}
|
||||
|
||||
public void setFields(final List<String> fields) {
|
||||
this.fields = fields;
|
||||
}
|
||||
|
||||
public Map<String, Integer> getParams() {
|
||||
return params;
|
||||
}
|
||||
|
||||
public void setParams(final Map<String, Integer> params) {
|
||||
this.params = params;
|
||||
}
|
||||
|
||||
@Override
|
||||
public String toString() {
|
||||
try {
|
||||
return new ObjectMapper().writeValueAsString(this);
|
||||
} catch (IOException e) {
|
||||
throw new PaceException("unable to serialise " + this.getClass().getName(), e);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,40 @@
|
|||
|
||||
package eu.dnetlib.pace.model;
|
||||
|
||||
import java.util.Set;
|
||||
|
||||
/**
|
||||
* The Interface Document. Models the common operations available on a Pace Document.
|
||||
*/
|
||||
public interface Document {
|
||||
|
||||
/**
|
||||
* Gets the identifier.
|
||||
*
|
||||
* @return the identifier
|
||||
*/
|
||||
String getIdentifier();
|
||||
|
||||
/**
|
||||
* Fields.
|
||||
*
|
||||
* @return the iterable
|
||||
*/
|
||||
Iterable<Field> fields();
|
||||
|
||||
/**
|
||||
* Values.
|
||||
*
|
||||
* @param name
|
||||
* the name
|
||||
* @return the field list
|
||||
*/
|
||||
Field values(String name);
|
||||
|
||||
/**
|
||||
* Field names.
|
||||
*
|
||||
* @return the sets the
|
||||
*/
|
||||
Set<String> fieldNames();
|
||||
}
|
|
@ -0,0 +1,57 @@
|
|||
|
||||
package eu.dnetlib.pace.model;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
||||
import eu.dnetlib.pace.config.Type;
|
||||
|
||||
/**
|
||||
* The Interface Field.
|
||||
*/
|
||||
public interface Field extends Iterable<Field>, Serializable {
|
||||
|
||||
/**
|
||||
* Gets the name.
|
||||
*
|
||||
* @return the name
|
||||
*/
|
||||
public String getName();
|
||||
|
||||
/**
|
||||
* Sets the name.
|
||||
*
|
||||
* @param name
|
||||
* the new name
|
||||
*/
|
||||
public void setName(String name);
|
||||
|
||||
/**
|
||||
* Gets the type.
|
||||
*
|
||||
* @return the type
|
||||
*/
|
||||
public Type getType();
|
||||
|
||||
/**
|
||||
* Sets the type.
|
||||
*
|
||||
* @param type
|
||||
* the new type
|
||||
*/
|
||||
public void setType(Type type);
|
||||
|
||||
/**
|
||||
* Checks if is empty.
|
||||
*
|
||||
* @return true, if is empty
|
||||
*/
|
||||
public boolean isEmpty();
|
||||
|
||||
/**
|
||||
* String value.
|
||||
*
|
||||
* @return the string
|
||||
*/
|
||||
public String stringValue();
|
||||
|
||||
}
|
|
@ -0,0 +1,117 @@
|
|||
|
||||
package eu.dnetlib.pace.model;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.util.List;
|
||||
|
||||
import com.fasterxml.jackson.core.JsonProcessingException;
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import com.google.common.base.Splitter;
|
||||
import com.google.common.collect.Lists;
|
||||
|
||||
import eu.dnetlib.pace.config.Type;
|
||||
|
||||
/**
|
||||
* The schema is composed by field definitions (FieldDef). Each field has a type, a name, and an associated compare algorithm.
|
||||
*/
|
||||
public class FieldDef implements Serializable {
|
||||
|
||||
public final static String PATH_SEPARATOR = "/";
|
||||
|
||||
private String name;
|
||||
|
||||
private String path;
|
||||
|
||||
private Type type;
|
||||
|
||||
private boolean overrideMatch;
|
||||
|
||||
/**
|
||||
* Sets maximum size for the repeatable fields in the model. -1 for unbounded size.
|
||||
*/
|
||||
private int size = -1;
|
||||
|
||||
/**
|
||||
* Sets maximum length for field values in the model. -1 for unbounded length.
|
||||
*/
|
||||
private int length = -1;
|
||||
|
||||
public FieldDef() {
|
||||
}
|
||||
|
||||
// def apply(s: String): Field[A]
|
||||
public Field apply(final Type type, final String s) {
|
||||
switch (type) {
|
||||
case Int:
|
||||
return new FieldValueImpl(type, name, Integer.parseInt(s));
|
||||
case String:
|
||||
return new FieldValueImpl(type, name, s);
|
||||
case List:
|
||||
return new FieldListImpl(name, type);
|
||||
default:
|
||||
throw new IllegalArgumentException("Casting not implemented for type " + type);
|
||||
}
|
||||
}
|
||||
|
||||
public String getName() {
|
||||
return name;
|
||||
}
|
||||
|
||||
public String getPath() {
|
||||
return path;
|
||||
}
|
||||
|
||||
public List<String> getPathList() {
|
||||
return Lists.newArrayList(Splitter.on(PATH_SEPARATOR).split(getPath()));
|
||||
}
|
||||
|
||||
public Type getType() {
|
||||
return type;
|
||||
}
|
||||
|
||||
public void setType(final Type type) {
|
||||
this.type = type;
|
||||
}
|
||||
|
||||
public boolean isOverrideMatch() {
|
||||
return overrideMatch;
|
||||
}
|
||||
|
||||
public void setOverrideMatch(final boolean overrideMatch) {
|
||||
this.overrideMatch = overrideMatch;
|
||||
}
|
||||
|
||||
public int getSize() {
|
||||
return size;
|
||||
}
|
||||
|
||||
public void setSize(int size) {
|
||||
this.size = size;
|
||||
}
|
||||
|
||||
public int getLength() {
|
||||
return length;
|
||||
}
|
||||
|
||||
public void setLength(int length) {
|
||||
this.length = length;
|
||||
}
|
||||
|
||||
public void setName(String name) {
|
||||
this.name = name;
|
||||
}
|
||||
|
||||
public void setPath(String path) {
|
||||
this.path = path;
|
||||
}
|
||||
|
||||
@Override
|
||||
public String toString() {
|
||||
try {
|
||||
return new ObjectMapper().writeValueAsString(this);
|
||||
} catch (JsonProcessingException e) {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,25 @@
|
|||
|
||||
package eu.dnetlib.pace.model;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* The Interface FieldList.
|
||||
*/
|
||||
public interface FieldList extends List<Field>, Field {
|
||||
|
||||
/**
|
||||
* String list.
|
||||
*
|
||||
* @return the list
|
||||
*/
|
||||
public List<String> stringList();
|
||||
|
||||
/**
|
||||
* Double[] Array
|
||||
*
|
||||
* @return the double[] array
|
||||
*/
|
||||
public double[] doubleArray();
|
||||
|
||||
}
|
|
@ -0,0 +1,315 @@
|
|||
|
||||
package eu.dnetlib.pace.model;
|
||||
|
||||
import java.util.Collection;
|
||||
import java.util.Iterator;
|
||||
import java.util.List;
|
||||
import java.util.ListIterator;
|
||||
|
||||
import com.fasterxml.jackson.core.JsonProcessingException;
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import com.google.common.base.Function;
|
||||
import com.google.common.base.Joiner;
|
||||
import com.google.common.collect.Iterables;
|
||||
import com.google.common.collect.Lists;
|
||||
|
||||
import eu.dnetlib.pace.config.Type;
|
||||
|
||||
/**
|
||||
* The Class FieldListImpl.
|
||||
*/
|
||||
public class FieldListImpl extends AbstractField implements FieldList {
|
||||
|
||||
/** The fields. */
|
||||
private List<Field> fields;
|
||||
|
||||
/**
|
||||
* Instantiates a new field list impl.
|
||||
*/
|
||||
public FieldListImpl() {
|
||||
fields = Lists.newArrayList();
|
||||
}
|
||||
|
||||
/**
|
||||
* Instantiates a new field list impl.
|
||||
*
|
||||
* @param name
|
||||
* the name
|
||||
*/
|
||||
public FieldListImpl(final String name, final Type type) {
|
||||
super(type, name);
|
||||
fields = Lists.newArrayList();
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#add(java.lang.Object)
|
||||
*/
|
||||
@Override
|
||||
public boolean add(final Field f) {
|
||||
return fields.add(f);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#add(int, java.lang.Object)
|
||||
*/
|
||||
@Override
|
||||
public void add(final int i, final Field f) {
|
||||
fields.add(i, f);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#addAll(java.util.Collection)
|
||||
*/
|
||||
@Override
|
||||
public boolean addAll(final Collection<? extends Field> f) {
|
||||
return fields.addAll(f);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#addAll(int, java.util.Collection)
|
||||
*/
|
||||
@Override
|
||||
public boolean addAll(final int i, final Collection<? extends Field> f) {
|
||||
return fields.addAll(i, f);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#clear()
|
||||
*/
|
||||
@Override
|
||||
public void clear() {
|
||||
fields.clear();
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#contains(java.lang.Object)
|
||||
*/
|
||||
@Override
|
||||
public boolean contains(final Object o) {
|
||||
return fields.contains(o);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#containsAll(java.util.Collection)
|
||||
*/
|
||||
@Override
|
||||
public boolean containsAll(final Collection<?> f) {
|
||||
return fields.containsAll(f);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#get(int)
|
||||
*/
|
||||
@Override
|
||||
public Field get(final int i) {
|
||||
return fields.get(i);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#indexOf(java.lang.Object)
|
||||
*/
|
||||
@Override
|
||||
public int indexOf(final Object o) {
|
||||
return fields.indexOf(o);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.model.Field#isEmpty()
|
||||
*/
|
||||
@Override
|
||||
public boolean isEmpty() {
|
||||
return Iterables.all(fields, f -> f.isEmpty());
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.lang.Iterable#iterator()
|
||||
*/
|
||||
@Override
|
||||
public Iterator<Field> iterator() {
|
||||
return fields.iterator();
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#lastIndexOf(java.lang.Object)
|
||||
*/
|
||||
@Override
|
||||
public int lastIndexOf(final Object o) {
|
||||
return fields.lastIndexOf(o);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#listIterator()
|
||||
*/
|
||||
@Override
|
||||
public ListIterator<Field> listIterator() {
|
||||
return fields.listIterator();
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#listIterator(int)
|
||||
*/
|
||||
@Override
|
||||
public ListIterator<Field> listIterator(final int i) {
|
||||
return fields.listIterator(i);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#remove(java.lang.Object)
|
||||
*/
|
||||
@Override
|
||||
public boolean remove(final Object o) {
|
||||
return fields.remove(o);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#remove(int)
|
||||
*/
|
||||
@Override
|
||||
public Field remove(final int i) {
|
||||
return fields.remove(i);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#removeAll(java.util.Collection)
|
||||
*/
|
||||
@Override
|
||||
public boolean removeAll(final Collection<?> f) {
|
||||
return fields.removeAll(f);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#retainAll(java.util.Collection)
|
||||
*/
|
||||
@Override
|
||||
public boolean retainAll(final Collection<?> f) {
|
||||
return fields.retainAll(f);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#set(int, java.lang.Object)
|
||||
*/
|
||||
@Override
|
||||
public Field set(final int i, final Field f) {
|
||||
return fields.set(i, f);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#size()
|
||||
*/
|
||||
@Override
|
||||
public int size() {
|
||||
return fields.size();
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#subList(int, int)
|
||||
*/
|
||||
@Override
|
||||
public List<Field> subList(final int from, final int to) {
|
||||
return fields.subList(from, to);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#toArray()
|
||||
*/
|
||||
@Override
|
||||
public Object[] toArray() {
|
||||
return fields.toArray();
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.List#toArray(java.lang.Object[])
|
||||
*/
|
||||
@Override
|
||||
public <T> T[] toArray(final T[] t) {
|
||||
return fields.toArray(t);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.model.Field#stringValue()
|
||||
*/
|
||||
@Override
|
||||
public String stringValue() {
|
||||
switch (getType()) {
|
||||
|
||||
case List:
|
||||
case Int:
|
||||
case String:
|
||||
return Joiner.on(" ").join(stringList());
|
||||
case JSON:
|
||||
String json;
|
||||
try {
|
||||
json = new ObjectMapper().writeValueAsString(this);
|
||||
} catch (JsonProcessingException e) {
|
||||
json = null;
|
||||
}
|
||||
return json;
|
||||
default:
|
||||
throw new IllegalArgumentException("Unknown type: " + getType().toString());
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.model.FieldList#stringList()
|
||||
*/
|
||||
@Override
|
||||
public List<String> stringList() {
|
||||
return Lists.newArrayList(Iterables.transform(fields, getValuesTransformer()));
|
||||
}
|
||||
|
||||
private Function<Field, String> getValuesTransformer() {
|
||||
return new Function<Field, String>() {
|
||||
|
||||
@Override
|
||||
public String apply(final Field f) {
|
||||
return f.stringValue();
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
@Override
|
||||
public double[] doubleArray() {
|
||||
return Lists.newArrayList(Iterables.transform(fields, getDouble())).stream().mapToDouble(d -> d).toArray();
|
||||
}
|
||||
|
||||
private Function<Field, Double> getDouble() {
|
||||
|
||||
return new Function<Field, Double>() {
|
||||
@Override
|
||||
public Double apply(final Field f) {
|
||||
return Double.parseDouble(f.stringValue());
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
@Override
|
||||
public String toString() {
|
||||
return stringList().toString();
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,26 @@
|
|||
|
||||
package eu.dnetlib.pace.model;
|
||||
|
||||
/**
|
||||
* The Interface FieldValue.
|
||||
*/
|
||||
public interface FieldValue extends Field {
|
||||
|
||||
/**
|
||||
* Gets the value.
|
||||
*
|
||||
* @return the value
|
||||
*/
|
||||
public Object getValue();
|
||||
|
||||
/**
|
||||
* Sets the value.
|
||||
*
|
||||
* @param value
|
||||
* the new value
|
||||
*/
|
||||
public void setValue(final Object value);
|
||||
|
||||
public double[] doubleArrayValue();
|
||||
|
||||
}
|
|
@ -0,0 +1,135 @@
|
|||
|
||||
package eu.dnetlib.pace.model;
|
||||
|
||||
import java.net.MalformedURLException;
|
||||
import java.net.URL;
|
||||
import java.util.Collections;
|
||||
import java.util.Iterator;
|
||||
import java.util.List;
|
||||
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
|
||||
import eu.dnetlib.pace.config.Type;
|
||||
|
||||
/**
|
||||
* The Class FieldValueImpl.
|
||||
*/
|
||||
public class FieldValueImpl extends AbstractField implements FieldValue {
|
||||
|
||||
/** The value. */
|
||||
private Object value = null;
|
||||
|
||||
/**
|
||||
* Instantiates a new field value impl.
|
||||
*/
|
||||
public FieldValueImpl() {
|
||||
}
|
||||
|
||||
/**
|
||||
* Instantiates a new field value impl.
|
||||
*
|
||||
* @param type
|
||||
* the type
|
||||
* @param name
|
||||
* the name
|
||||
* @param value
|
||||
* the value
|
||||
*/
|
||||
public FieldValueImpl(final Type type, final String name, final Object value) {
|
||||
super(type, name);
|
||||
this.value = value;
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.model.Field#isEmpty()
|
||||
*/
|
||||
@Override
|
||||
public boolean isEmpty() {
|
||||
if (value == null)
|
||||
return false;
|
||||
|
||||
switch (type) {
|
||||
case String:
|
||||
case JSON:
|
||||
return value.toString().isEmpty();
|
||||
case List:
|
||||
try {
|
||||
List<?> list = (List<?>) value;
|
||||
return list.isEmpty() || ((FieldValueImpl) list.get(0)).isEmpty();
|
||||
} catch (Exception e) {
|
||||
throw new RuntimeException(value.toString());
|
||||
}
|
||||
case URL:
|
||||
String str = value.toString();
|
||||
return StringUtils.isBlank(str) || !isValidURL(str);
|
||||
case DoubleArray:
|
||||
return doubleArrayValue().length == 0;
|
||||
default:
|
||||
return true;
|
||||
}
|
||||
}
|
||||
|
||||
private boolean isValidURL(final String s) {
|
||||
try {
|
||||
new URL(s);
|
||||
return true;
|
||||
} catch (MalformedURLException e) {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.model.FieldValue#getValue()
|
||||
*/
|
||||
@Override
|
||||
public Object getValue() {
|
||||
return value;
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.model.FieldValue#setValue(java.lang.Object)
|
||||
*/
|
||||
@Override
|
||||
public void setValue(final Object value) {
|
||||
this.value = value;
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.model.Field#stringValue()
|
||||
*/
|
||||
@Override
|
||||
// @SuppressWarnings("unchecked")
|
||||
public String stringValue() {
|
||||
return String.valueOf(getValue());
|
||||
// switch (getType()) {
|
||||
//
|
||||
// case Int:
|
||||
// return String.valueOf(getValue());
|
||||
// case List:
|
||||
// return Joiner.on(" ").join((List<String>) getValue());
|
||||
// case String:
|
||||
// return (String) getValue();
|
||||
// default:
|
||||
// throw new IllegalArgumentException("Unknown type: " + getType().toString());
|
||||
// }
|
||||
}
|
||||
|
||||
public double[] doubleArrayValue() {
|
||||
return (double[]) getValue();
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.lang.Iterable#iterator()
|
||||
*/
|
||||
@Override
|
||||
@SuppressWarnings("unchecked")
|
||||
public Iterator<Field> iterator() {
|
||||
return Collections.singleton((Field) this).iterator();
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,143 @@
|
|||
|
||||
package eu.dnetlib.pace.model;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.util.Map;
|
||||
import java.util.Set;
|
||||
|
||||
import com.google.common.collect.Iterables;
|
||||
import com.google.common.collect.Lists;
|
||||
import com.google.common.collect.Maps;
|
||||
|
||||
/**
|
||||
* The Class MapDocument.
|
||||
*/
|
||||
public class MapDocument implements Document, Serializable {
|
||||
|
||||
/** The identifier. */
|
||||
private String identifier;
|
||||
|
||||
/** The field map. */
|
||||
private Map<String, Field> fieldMap;
|
||||
|
||||
/**
|
||||
* Instantiates a new map document.
|
||||
*/
|
||||
public MapDocument() {
|
||||
identifier = null;
|
||||
fieldMap = Maps.newHashMap();
|
||||
}
|
||||
|
||||
/**
|
||||
* Instantiates a new map document.
|
||||
*
|
||||
* @param identifier
|
||||
* the identifier
|
||||
* @param fieldMap
|
||||
* the field map
|
||||
*/
|
||||
public MapDocument(final String identifier, final Map<String, Field> fieldMap) {
|
||||
this.setIdentifier(identifier);
|
||||
this.fieldMap = fieldMap;
|
||||
}
|
||||
|
||||
/**
|
||||
* Instantiates a new map document.
|
||||
*
|
||||
* @param identifier
|
||||
* the identifier
|
||||
* @param data
|
||||
* the data
|
||||
*/
|
||||
public MapDocument(final String identifier, final byte[] data) {
|
||||
final MapDocument doc = MapDocumentSerializer.decode(data);
|
||||
|
||||
this.fieldMap = doc.fieldMap;
|
||||
this.identifier = doc.identifier;
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.model.document.Document#fields()
|
||||
*/
|
||||
@Override
|
||||
public Iterable<Field> fields() {
|
||||
return Lists.newArrayList(Iterables.concat(fieldMap.values()));
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.model.document.Document#values(java.lang.String)
|
||||
*/
|
||||
@Override
|
||||
public Field values(final String name) {
|
||||
return fieldMap.get(name);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.model.document.Document#fieldNames()
|
||||
*/
|
||||
@Override
|
||||
public Set<String> fieldNames() {
|
||||
return fieldMap.keySet();
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.lang.Object#toString()
|
||||
*/
|
||||
@Override
|
||||
public String toString() {
|
||||
return MapDocumentSerializer.toString(this);
|
||||
// return String.format("Document(%s)", fieldMap.toString());
|
||||
}
|
||||
|
||||
/**
|
||||
* To byte array.
|
||||
*
|
||||
* @return the byte[]
|
||||
*/
|
||||
public byte[] toByteArray() {
|
||||
return MapDocumentSerializer.toByteArray(this);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.model.document.Document#getIdentifier()
|
||||
*/
|
||||
@Override
|
||||
public String getIdentifier() {
|
||||
return identifier;
|
||||
}
|
||||
|
||||
/**
|
||||
* Sets the identifier.
|
||||
*
|
||||
* @param identifier
|
||||
* the new identifier
|
||||
*/
|
||||
public void setIdentifier(final String identifier) {
|
||||
this.identifier = identifier;
|
||||
}
|
||||
|
||||
/**
|
||||
* Gets the field map.
|
||||
*
|
||||
* @return the field map
|
||||
*/
|
||||
public Map<String, Field> getFieldMap() {
|
||||
return fieldMap;
|
||||
}
|
||||
|
||||
/**
|
||||
* Sets the field map.
|
||||
*
|
||||
* @param fieldMap
|
||||
* the field map
|
||||
*/
|
||||
public void setFieldMap(final Map<String, Field> fieldMap) {
|
||||
this.fieldMap = fieldMap;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,52 @@
|
|||
|
||||
package eu.dnetlib.pace.model;
|
||||
|
||||
import java.util.Comparator;
|
||||
|
||||
import com.google.common.collect.Iterables;
|
||||
|
||||
import eu.dnetlib.pace.clustering.NGramUtils;
|
||||
|
||||
/**
|
||||
* The Class MapDocumentComparator.
|
||||
*/
|
||||
public class MapDocumentComparator implements Comparator<Document> {
|
||||
|
||||
/** The comparator field. */
|
||||
private String comparatorField;
|
||||
|
||||
private final FieldList emptyField = new FieldListImpl();
|
||||
|
||||
/**
|
||||
* Instantiates a new map document comparator.
|
||||
*
|
||||
* @param comparatorField
|
||||
* the comparator field
|
||||
*/
|
||||
public MapDocumentComparator(final String comparatorField) {
|
||||
this.comparatorField = comparatorField;
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see java.util.Comparator#compare(java.lang.Object, java.lang.Object)
|
||||
*/
|
||||
@Override
|
||||
public int compare(final Document d1, final Document d2) {
|
||||
|
||||
if (d1.values(comparatorField).isEmpty() || d2.values(comparatorField).isEmpty())
|
||||
return 0;
|
||||
|
||||
final String o1 = Iterables.getFirst(d1.values(comparatorField), emptyField).stringValue();
|
||||
final String o2 = Iterables.getFirst(d2.values(comparatorField), emptyField).stringValue();
|
||||
|
||||
if ((o1 == null) || (o2 == null))
|
||||
return 0;
|
||||
|
||||
final String to1 = NGramUtils.cleanupForOrdering(o1);
|
||||
final String to2 = NGramUtils.cleanupForOrdering(o2);
|
||||
|
||||
return to1.compareTo(to2);
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,103 @@
|
|||
|
||||
package eu.dnetlib.pace.model;
|
||||
|
||||
import java.lang.reflect.Type;
|
||||
|
||||
import com.google.gson.GsonBuilder;
|
||||
import com.google.gson.InstanceCreator;
|
||||
import com.google.gson.JsonDeserializationContext;
|
||||
import com.google.gson.JsonDeserializer;
|
||||
import com.google.gson.JsonElement;
|
||||
import com.google.gson.JsonObject;
|
||||
import com.google.gson.JsonParseException;
|
||||
|
||||
/**
|
||||
* The Class MapDocumentSerializer.
|
||||
*/
|
||||
public class MapDocumentSerializer implements InstanceCreator<MapDocument> {
|
||||
|
||||
@Override
|
||||
public MapDocument createInstance(final Type type) {
|
||||
return new MapDocument();
|
||||
}
|
||||
|
||||
/**
|
||||
* Decode.
|
||||
*
|
||||
* @param s
|
||||
* the String
|
||||
* @return the map document
|
||||
*/
|
||||
public static MapDocument decode(final String s) {
|
||||
final GsonBuilder gson = new GsonBuilder();
|
||||
|
||||
gson.registerTypeAdapter(Field.class, new JsonDeserializer<Field>() {
|
||||
|
||||
@Override
|
||||
public Field deserialize(final JsonElement json, final Type typeOfT,
|
||||
final JsonDeserializationContext context) throws JsonParseException {
|
||||
final FieldListImpl fl = new FieldListImpl();
|
||||
if (json.isJsonObject()) {
|
||||
|
||||
fl.add(handleJsonObject(json.getAsJsonObject()));
|
||||
|
||||
} else if (json.isJsonArray()) {
|
||||
|
||||
for (final JsonElement e : json.getAsJsonArray()) {
|
||||
if (e.isJsonObject()) {
|
||||
fl.add(handleJsonObject(e.getAsJsonObject()));
|
||||
}
|
||||
}
|
||||
}
|
||||
return fl;
|
||||
}
|
||||
|
||||
private Field handleJsonObject(final JsonObject o) {
|
||||
final FieldListImpl fl = new FieldListImpl();
|
||||
final String name = o.get("name").getAsString();
|
||||
final String type = o.get("type").getAsString();
|
||||
final String value = o.get("value").getAsString();
|
||||
fl.add(new FieldValueImpl(eu.dnetlib.pace.config.Type.valueOf(type), name, value));
|
||||
return fl;
|
||||
}
|
||||
});
|
||||
|
||||
return gson.create().fromJson(s, MapDocument.class);
|
||||
}
|
||||
|
||||
/**
|
||||
* Decode.
|
||||
*
|
||||
* @param bytes
|
||||
* the bytes
|
||||
* @return the map document
|
||||
*/
|
||||
public static MapDocument decode(final byte[] bytes) {
|
||||
return decode(new String(bytes));
|
||||
}
|
||||
|
||||
/**
|
||||
* To string.
|
||||
*
|
||||
* @param doc
|
||||
* the doc
|
||||
* @return the string
|
||||
*/
|
||||
public static String toString(final MapDocument doc) {
|
||||
final GsonBuilder b = new GsonBuilder();
|
||||
return b.setPrettyPrinting().create().toJson(doc);
|
||||
|
||||
}
|
||||
|
||||
/**
|
||||
* To byte array.
|
||||
*
|
||||
* @param doc
|
||||
* the doc
|
||||
* @return the byte[]
|
||||
*/
|
||||
public static byte[] toByteArray(final MapDocument doc) {
|
||||
return toString(doc).getBytes();
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,156 @@
|
|||
|
||||
package eu.dnetlib.pace.model;
|
||||
|
||||
import java.nio.charset.Charset;
|
||||
import java.text.Normalizer;
|
||||
import java.util.List;
|
||||
import java.util.Set;
|
||||
|
||||
import com.google.common.base.Joiner;
|
||||
import com.google.common.base.Splitter;
|
||||
import com.google.common.collect.Iterables;
|
||||
import com.google.common.collect.Lists;
|
||||
import com.google.common.hash.Hashing;
|
||||
|
||||
import eu.dnetlib.pace.common.AbstractPaceFunctions;
|
||||
import eu.dnetlib.pace.util.Capitalise;
|
||||
import eu.dnetlib.pace.util.DotAbbreviations;
|
||||
|
||||
public class Person {
|
||||
|
||||
private static final String UTF8 = "UTF-8";
|
||||
private List<String> name = Lists.newArrayList();
|
||||
private List<String> surname = Lists.newArrayList();
|
||||
private List<String> fullname = Lists.newArrayList();
|
||||
private final String original;
|
||||
|
||||
private static Set<String> particles = null;
|
||||
|
||||
public Person(String s, final boolean aggressive) {
|
||||
original = s;
|
||||
s = Normalizer.normalize(s, Normalizer.Form.NFD);
|
||||
s = s.replaceAll("\\(.+\\)", "");
|
||||
s = s.replaceAll("\\[.+\\]", "");
|
||||
s = s.replaceAll("\\{.+\\}", "");
|
||||
s = s.replaceAll("\\s+-\\s+", "-");
|
||||
s = s.replaceAll("[\\p{Punct}&&[^,-]]", " ");
|
||||
s = s.replaceAll("\\d", " ");
|
||||
s = s.replaceAll("\\n", " ");
|
||||
s = s.replaceAll("\\.", " ");
|
||||
s = s.replaceAll("\\s+", " ");
|
||||
|
||||
if (aggressive) {
|
||||
s = s.replaceAll("[\\p{InCombiningDiacriticalMarks}&&[^,-]]", "");
|
||||
// s = s.replaceAll("[\\W&&[^,-]]", "");
|
||||
}
|
||||
|
||||
if (s.contains(",")) { // if the name contains a comma it is easy derivable the name and the surname
|
||||
final String[] arr = s.split(",");
|
||||
if (arr.length == 1) {
|
||||
fullname = splitTerms(arr[0]);
|
||||
} else if (arr.length > 1) {
|
||||
surname = splitTerms(arr[0]);
|
||||
name = splitTerms(arr[1]);
|
||||
fullname.addAll(surname);
|
||||
fullname.addAll(name);
|
||||
}
|
||||
} else {
|
||||
fullname = splitTerms(s);
|
||||
|
||||
int lastInitialPosition = fullname.size();
|
||||
boolean hasSurnameInUpperCase = false;
|
||||
|
||||
for (int i = 0; i < fullname.size(); i++) {
|
||||
final String term = fullname.get(i);
|
||||
if (term.length() == 1) {
|
||||
lastInitialPosition = i;
|
||||
} else if (term.equals(term.toUpperCase())) {
|
||||
hasSurnameInUpperCase = true;
|
||||
}
|
||||
}
|
||||
|
||||
if (lastInitialPosition < (fullname.size() - 1)) { // Case: Michele G. Artini
|
||||
name = fullname.subList(0, lastInitialPosition + 1);
|
||||
surname = fullname.subList(lastInitialPosition + 1, fullname.size());
|
||||
} else if (hasSurnameInUpperCase) { // Case: Michele ARTINI
|
||||
for (final String term : fullname) {
|
||||
if ((term.length() > 1) && term.equals(term.toUpperCase())) {
|
||||
surname.add(term);
|
||||
} else {
|
||||
name.add(term);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
private List<String> splitTerms(final String s) {
|
||||
if (particles == null) {
|
||||
particles = AbstractPaceFunctions.loadFromClasspath("/eu/dnetlib/pace/config/name_particles.txt");
|
||||
}
|
||||
|
||||
final List<String> list = Lists.newArrayList();
|
||||
for (final String part : Splitter.on(" ").omitEmptyStrings().split(s)) {
|
||||
if (!particles.contains(part.toLowerCase())) {
|
||||
list.add(part);
|
||||
}
|
||||
}
|
||||
return list;
|
||||
}
|
||||
|
||||
public List<String> getName() {
|
||||
return name;
|
||||
}
|
||||
|
||||
public String getNameString() {
|
||||
return Joiner.on(" ").join(getName());
|
||||
}
|
||||
|
||||
public List<String> getSurname() {
|
||||
return surname;
|
||||
}
|
||||
|
||||
public List<String> getFullname() {
|
||||
return fullname;
|
||||
}
|
||||
|
||||
public String getOriginal() {
|
||||
return original;
|
||||
}
|
||||
|
||||
public String hash() {
|
||||
return Hashing.murmur3_128().hashString(getNormalisedFullname(), Charset.forName(UTF8)).toString();
|
||||
}
|
||||
|
||||
public String getNormalisedFirstName() {
|
||||
return Joiner.on(" ").join(getCapitalFirstnames());
|
||||
}
|
||||
|
||||
public String getNormalisedSurname() {
|
||||
return Joiner.on(" ").join(getCapitalSurname());
|
||||
}
|
||||
|
||||
public String getSurnameString() {
|
||||
return Joiner.on(" ").join(getSurname());
|
||||
}
|
||||
|
||||
public String getNormalisedFullname() {
|
||||
return isAccurate() ? getNormalisedSurname() + ", " + getNormalisedFirstName() : Joiner.on(" ").join(fullname);
|
||||
}
|
||||
|
||||
public List<String> getCapitalFirstnames() {
|
||||
return Lists.newArrayList(Iterables.transform(getNameWithAbbreviations(), new Capitalise()));
|
||||
}
|
||||
|
||||
public List<String> getCapitalSurname() {
|
||||
return Lists.newArrayList(Iterables.transform(surname, new Capitalise()));
|
||||
}
|
||||
|
||||
public List<String> getNameWithAbbreviations() {
|
||||
return Lists.newArrayList(Iterables.transform(name, new DotAbbreviations()));
|
||||
}
|
||||
|
||||
public boolean isAccurate() {
|
||||
return ((name != null) && (surname != null) && !name.isEmpty() && !surname.isEmpty());
|
||||
}
|
||||
}
|
|
@ -0,0 +1,119 @@
|
|||
|
||||
package eu.dnetlib.pace.model;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.Collections;
|
||||
import java.util.List;
|
||||
import java.util.Set;
|
||||
|
||||
import com.google.common.collect.Lists;
|
||||
import com.google.common.collect.Sets;
|
||||
|
||||
public class PersonComparatorUtils {
|
||||
|
||||
private static final int MAX_FULLNAME_LENGTH = 50;
|
||||
|
||||
public static Set<String> getNgramsForPerson(String fullname) {
|
||||
|
||||
Set<String> set = Sets.newHashSet();
|
||||
|
||||
if (fullname.length() > MAX_FULLNAME_LENGTH) {
|
||||
return set;
|
||||
}
|
||||
|
||||
Person p = new Person(fullname, true);
|
||||
|
||||
if (p.isAccurate()) {
|
||||
for (String name : p.getName()) {
|
||||
for (String surname : p.getSurname()) {
|
||||
set.add((name.charAt(0) + "_" + surname).toLowerCase());
|
||||
}
|
||||
}
|
||||
} else {
|
||||
List<String> list = p.getFullname();
|
||||
for (int i = 0; i < list.size(); i++) {
|
||||
if (list.get(i).length() > 1) {
|
||||
for (int j = 0; j < list.size(); j++) {
|
||||
if (i != j) {
|
||||
set.add((list.get(j).charAt(0) + "_" + list.get(i)).toLowerCase());
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return set;
|
||||
}
|
||||
|
||||
public static boolean areSimilar(String s1, String s2) {
|
||||
Person p1 = new Person(s1, true);
|
||||
Person p2 = new Person(s2, true);
|
||||
|
||||
if (p1.isAccurate() && p2.isAccurate()) {
|
||||
return verifyNames(p1.getName(), p2.getName()) && verifySurnames(p1.getSurname(), p2.getSurname());
|
||||
} else {
|
||||
return verifyFullnames(p1.getFullname(), p2.getFullname());
|
||||
}
|
||||
}
|
||||
|
||||
private static boolean verifyNames(List<String> list1, List<String> list2) {
|
||||
return verifySimilarity(extractExtendedNames(list1), extractExtendedNames(list2))
|
||||
&& verifySimilarity(extractInitials(list1), extractInitials(list2));
|
||||
}
|
||||
|
||||
private static boolean verifySurnames(List<String> list1, List<String> list2) {
|
||||
if (list1.size() != list2.size()) {
|
||||
return false;
|
||||
}
|
||||
for (int i = 0; i < list1.size(); i++) {
|
||||
if (!list1.get(i).equalsIgnoreCase(list2.get(i))) {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
private static boolean verifyFullnames(List<String> list1, List<String> list2) {
|
||||
Collections.sort(list1);
|
||||
Collections.sort(list2);
|
||||
return verifySimilarity(extractExtendedNames(list1), extractExtendedNames(list2))
|
||||
&& verifySimilarity(extractInitials(list1), extractInitials(list2));
|
||||
}
|
||||
|
||||
private static List<String> extractExtendedNames(List<String> list) {
|
||||
ArrayList<String> res = Lists.newArrayList();
|
||||
for (String s : list) {
|
||||
if (s.length() > 1) {
|
||||
res.add(s.toLowerCase());
|
||||
}
|
||||
}
|
||||
return res;
|
||||
}
|
||||
|
||||
private static List<String> extractInitials(List<String> list) {
|
||||
ArrayList<String> res = Lists.newArrayList();
|
||||
for (String s : list) {
|
||||
res.add(s.substring(0, 1).toLowerCase());
|
||||
}
|
||||
return res;
|
||||
}
|
||||
|
||||
private static boolean verifySimilarity(List<String> list1, List<String> list2) {
|
||||
if (list1.size() > list2.size()) {
|
||||
return verifySimilarity(list2, list1);
|
||||
}
|
||||
|
||||
// NB: List2 is greater than list1 (or equal)
|
||||
int pos = -1;
|
||||
for (String s : list1) {
|
||||
int curr = list2.indexOf(s);
|
||||
if (curr > pos) {
|
||||
list2.set(curr, "*"); // I invalidate the found element, example: "amm - amm"
|
||||
pos = curr;
|
||||
} else {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
return true;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,43 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("alwaysMatch")
|
||||
public class AlwaysMatch extends AbstractComparator {
|
||||
|
||||
public AlwaysMatch(final Map<String, String> params) {
|
||||
super(params, new com.wcohen.ss.JaroWinkler());
|
||||
}
|
||||
|
||||
public AlwaysMatch(final double weight) {
|
||||
super(weight, new com.wcohen.ss.JaroWinkler());
|
||||
}
|
||||
|
||||
protected AlwaysMatch(final double weight, final AbstractStringDistance ssalgo) {
|
||||
super(weight, ssalgo);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double compare(final Field a, final Field b, final Config conf) {
|
||||
return 1.0;
|
||||
}
|
||||
|
||||
@Override
|
||||
public double getWeight() {
|
||||
return super.weight;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected double normalize(final double d) {
|
||||
return d;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,171 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Comparator;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.function.Function;
|
||||
import java.util.stream.Collectors;
|
||||
import java.util.stream.Stream;
|
||||
|
||||
import com.google.common.collect.Iterables;
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.model.FieldList;
|
||||
import eu.dnetlib.pace.model.Person;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("authorsMatch")
|
||||
public class AuthorsMatch extends AbstractComparator {
|
||||
|
||||
Map<String, String> params;
|
||||
|
||||
private double SURNAME_THRESHOLD;
|
||||
private double NAME_THRESHOLD;
|
||||
private double FULLNAME_THRESHOLD;
|
||||
private String MODE; // full or surname
|
||||
private int SIZE_THRESHOLD;
|
||||
private String TYPE; // count or percentage
|
||||
private int common;
|
||||
|
||||
public AuthorsMatch(Map<String, String> params) {
|
||||
super(params, new com.wcohen.ss.JaroWinkler());
|
||||
this.params = params;
|
||||
|
||||
MODE = params.getOrDefault("mode", "full");
|
||||
SURNAME_THRESHOLD = Double.parseDouble(params.getOrDefault("surname_th", "0.95"));
|
||||
NAME_THRESHOLD = Double.parseDouble(params.getOrDefault("name_th", "0.95"));
|
||||
FULLNAME_THRESHOLD = Double.parseDouble(params.getOrDefault("fullname_th", "0.9"));
|
||||
SIZE_THRESHOLD = Integer.parseInt(params.getOrDefault("size_th", "20"));
|
||||
TYPE = params.getOrDefault("type", "percentage");
|
||||
common = 0;
|
||||
}
|
||||
|
||||
protected AuthorsMatch(double w, AbstractStringDistance ssalgo) {
|
||||
super(w, ssalgo);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double compare(final Field a, final Field b, final Config conf) {
|
||||
|
||||
if (a.isEmpty() || b.isEmpty())
|
||||
return -1;
|
||||
|
||||
if (((FieldList) a).size() > SIZE_THRESHOLD || ((FieldList) b).size() > SIZE_THRESHOLD)
|
||||
return 1.0;
|
||||
|
||||
List<Person> aList = ((FieldList) a)
|
||||
.stringList()
|
||||
.stream()
|
||||
.map(author -> new Person(author, false))
|
||||
.collect(Collectors.toList());
|
||||
List<Person> bList = ((FieldList) b)
|
||||
.stringList()
|
||||
.stream()
|
||||
.map(author -> new Person(author, false))
|
||||
.collect(Collectors.toList());
|
||||
|
||||
common = 0;
|
||||
// compare each element of List1 with each element of List2
|
||||
for (Person p1 : aList)
|
||||
|
||||
for (Person p2 : bList) {
|
||||
|
||||
// both persons are inaccurate
|
||||
if (!p1.isAccurate() && !p2.isAccurate()) {
|
||||
// compare just normalized fullnames
|
||||
String fullname1 = normalization(
|
||||
p1.getNormalisedFullname().isEmpty() ? p1.getOriginal() : p1.getNormalisedFullname());
|
||||
String fullname2 = normalization(
|
||||
p2.getNormalisedFullname().isEmpty() ? p2.getOriginal() : p2.getNormalisedFullname());
|
||||
|
||||
if (ssalgo.score(fullname1, fullname2) > FULLNAME_THRESHOLD) {
|
||||
common += 1;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
// one person is inaccurate
|
||||
if (p1.isAccurate() ^ p2.isAccurate()) {
|
||||
// prepare data
|
||||
// data for the accurate person
|
||||
String name = normalization(
|
||||
p1.isAccurate() ? p1.getNormalisedFirstName() : p2.getNormalisedFirstName());
|
||||
String surname = normalization(
|
||||
p1.isAccurate() ? p1.getNormalisedSurname() : p2.getNormalisedSurname());
|
||||
|
||||
// data for the inaccurate person
|
||||
String fullname = normalization(
|
||||
p1.isAccurate()
|
||||
? ((p2.getNormalisedFullname().isEmpty()) ? p2.getOriginal() : p2.getNormalisedFullname())
|
||||
: (p1.getNormalisedFullname().isEmpty() ? p1.getOriginal() : p1.getNormalisedFullname()));
|
||||
|
||||
if (fullname.contains(surname)) {
|
||||
if (MODE.equals("full")) {
|
||||
if (fullname.contains(name)) {
|
||||
common += 1;
|
||||
break;
|
||||
}
|
||||
} else { // MODE equals "surname"
|
||||
common += 1;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// both persons are accurate
|
||||
if (p1.isAccurate() && p2.isAccurate()) {
|
||||
|
||||
if (compareSurname(p1, p2)) {
|
||||
if (MODE.equals("full")) {
|
||||
if (compareFirstname(p1, p2)) {
|
||||
common += 1;
|
||||
break;
|
||||
}
|
||||
} else { // MODE equals "surname"
|
||||
common += 1;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
// normalization factor to compute the score
|
||||
int normFactor = aList.size() == bList.size() ? aList.size() : (aList.size() + bList.size() - common);
|
||||
|
||||
if (TYPE.equals("percentage")) {
|
||||
return (double) common / normFactor;
|
||||
} else {
|
||||
return (double) common;
|
||||
}
|
||||
}
|
||||
|
||||
public boolean compareSurname(Person p1, Person p2) {
|
||||
return ssalgo
|
||||
.score(
|
||||
normalization(p1.getNormalisedSurname()), normalization(p2.getNormalisedSurname())) > SURNAME_THRESHOLD;
|
||||
}
|
||||
|
||||
public boolean compareFirstname(Person p1, Person p2) {
|
||||
|
||||
if (p1.getNormalisedFirstName().length() <= 2 || p2.getNormalisedFirstName().length() <= 2) {
|
||||
if (firstLC(p1.getNormalisedFirstName()).equals(firstLC(p2.getNormalisedFirstName())))
|
||||
return true;
|
||||
}
|
||||
|
||||
return ssalgo
|
||||
.score(
|
||||
normalization(p1.getNormalisedFirstName()),
|
||||
normalization(p2.getNormalisedFirstName())) > NAME_THRESHOLD;
|
||||
}
|
||||
|
||||
public String normalization(String s) {
|
||||
return normalize(utf8(cleanup(s)));
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,48 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
import java.util.Set;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("cityMatch")
|
||||
public class CityMatch extends AbstractComparator {
|
||||
|
||||
private Map<String, String> params;
|
||||
|
||||
public CityMatch(Map<String, String> params) {
|
||||
super(params);
|
||||
this.params = params;
|
||||
}
|
||||
|
||||
@Override
|
||||
public double distance(final String a, final String b, final Config conf) {
|
||||
|
||||
String ca = cleanup(a);
|
||||
String cb = cleanup(b);
|
||||
|
||||
ca = normalize(ca);
|
||||
cb = normalize(cb);
|
||||
|
||||
ca = filterAllStopWords(ca);
|
||||
cb = filterAllStopWords(cb);
|
||||
|
||||
Set<String> cities1 = getCities(ca, Integer.parseInt(params.getOrDefault("windowSize", "4")));
|
||||
Set<String> cities2 = getCities(cb, Integer.parseInt(params.getOrDefault("windowSize", "4")));
|
||||
|
||||
Set<String> codes1 = citiesToCodes(cities1);
|
||||
Set<String> codes2 = citiesToCodes(cities2);
|
||||
|
||||
// if no cities are detected, the comparator gives 1.0
|
||||
if (codes1.isEmpty() && codes2.isEmpty())
|
||||
return 1.0;
|
||||
else {
|
||||
if (codes1.isEmpty() ^ codes2.isEmpty())
|
||||
return -1; // undefined if one of the two has no cities
|
||||
return commonElementsPercentage(codes1, codes2);
|
||||
}
|
||||
}
|
||||
}
|
|
@ -0,0 +1,53 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.HashMap;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.model.FieldList;
|
||||
import eu.dnetlib.pace.model.FieldValueImpl;
|
||||
import eu.dnetlib.pace.model.Person;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("cosineSimilarity")
|
||||
public class CosineSimilarity extends AbstractComparator {
|
||||
|
||||
Map<String, String> params;
|
||||
|
||||
public CosineSimilarity(Map<String, String> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double compare(final Field a, final Field b, final Config conf) {
|
||||
|
||||
if (a.isEmpty() || b.isEmpty())
|
||||
return -1;
|
||||
|
||||
double[] aVector = ((FieldValueImpl) a).doubleArrayValue();
|
||||
double[] bVector = ((FieldValueImpl) b).doubleArrayValue();
|
||||
|
||||
return cosineSimilarity(aVector, bVector);
|
||||
}
|
||||
|
||||
double cosineSimilarity(double[] a, double[] b) {
|
||||
double dotProduct = 0;
|
||||
double normASum = 0;
|
||||
double normBSum = 0;
|
||||
|
||||
for (int i = 0; i < a.length; i++) {
|
||||
dotProduct += a[i] * b[i];
|
||||
normASum += a[i] * a[i];
|
||||
normBSum += b[i] * b[i];
|
||||
}
|
||||
|
||||
double eucledianDist = Math.sqrt(normASum) * Math.sqrt(normBSum);
|
||||
return dotProduct / eucledianDist;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,28 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
/**
|
||||
* The Class ExactMatch.
|
||||
*
|
||||
* @author claudio
|
||||
*/
|
||||
@ComparatorClass("doiExactMatch")
|
||||
public class DoiExactMatch extends ExactMatchIgnoreCase {
|
||||
|
||||
public final String PREFIX = "(http:\\/\\/dx\\.doi\\.org\\/)|(doi:)";
|
||||
|
||||
public DoiExactMatch(final Map<String, String> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected String getValue(final Field f) {
|
||||
return super.getValue(f).replaceAll(PREFIX, "");
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,31 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.net.MalformedURLException;
|
||||
import java.net.URL;
|
||||
import java.util.Map;
|
||||
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("domainExactMatch")
|
||||
public class DomainExactMatch extends ExactMatchIgnoreCase {
|
||||
|
||||
public DomainExactMatch(final Map<String, String> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected String getValue(final Field f) {
|
||||
|
||||
try {
|
||||
return asUrl(super.getValue(f)).getHost();
|
||||
} catch (MalformedURLException e) {
|
||||
return "";
|
||||
}
|
||||
}
|
||||
|
||||
private URL asUrl(final String value) throws MalformedURLException {
|
||||
return new URL(value);
|
||||
}
|
||||
}
|
|
@ -0,0 +1,44 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("exactMatch")
|
||||
public class ExactMatch extends AbstractComparator {
|
||||
|
||||
public ExactMatch(Map<String, String> params) {
|
||||
super(params, new com.wcohen.ss.JaroWinkler());
|
||||
}
|
||||
|
||||
public ExactMatch(final double weight) {
|
||||
super(weight, new com.wcohen.ss.JaroWinkler());
|
||||
}
|
||||
|
||||
protected ExactMatch(final double weight, final AbstractStringDistance ssalgo) {
|
||||
super(weight, ssalgo);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double distance(final String a, final String b, final Config conf) {
|
||||
if (a.isEmpty() || b.isEmpty()) {
|
||||
return -1.0; // return -1 if a field is missing
|
||||
}
|
||||
return a.equals(b) ? 1.0 : 0;
|
||||
}
|
||||
|
||||
@Override
|
||||
public double getWeight() {
|
||||
return super.weight;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected double normalize(final double d) {
|
||||
return d;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,33 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("exactMatchIgnoreCase")
|
||||
public class ExactMatchIgnoreCase extends AbstractComparator {
|
||||
|
||||
public ExactMatchIgnoreCase(Map<String, String> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double compare(Field a, Field b, final Config conf) {
|
||||
|
||||
final String fa = getValue(a);
|
||||
final String fb = getValue(b);
|
||||
|
||||
if (fa.isEmpty() || fb.isEmpty())
|
||||
return -1;
|
||||
|
||||
return fa.equalsIgnoreCase(fb) ? 1 : 0;
|
||||
}
|
||||
|
||||
protected String getValue(final Field f) {
|
||||
return getFirstValue(f);
|
||||
}
|
||||
}
|
|
@ -0,0 +1,85 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.HashMap;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Set;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import com.google.common.collect.Sets;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.model.FieldList;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("instanceTypeMatch")
|
||||
public class InstanceTypeMatch extends AbstractComparator {
|
||||
|
||||
final Map<String, String> translationMap = new HashMap<>();
|
||||
|
||||
public InstanceTypeMatch(Map<String, String> params) {
|
||||
super(params);
|
||||
|
||||
// jolly types
|
||||
translationMap.put("Conference object", "*");
|
||||
translationMap.put("Other literature type", "*");
|
||||
translationMap.put("Unknown", "*");
|
||||
|
||||
// article types
|
||||
translationMap.put("Article", "Article");
|
||||
translationMap.put("Data Paper", "Article");
|
||||
translationMap.put("Software Paper", "Article");
|
||||
translationMap.put("Preprint", "Article");
|
||||
|
||||
// thesis types
|
||||
translationMap.put("Thesis", "Thesis");
|
||||
translationMap.put("Master thesis", "Thesis");
|
||||
translationMap.put("Bachelor thesis", "Thesis");
|
||||
translationMap.put("Doctoral thesis", "Thesis");
|
||||
}
|
||||
|
||||
@Override
|
||||
public double compare(final Field a, final Field b, final Config conf) {
|
||||
|
||||
if (a == null || b == null) {
|
||||
return -1;
|
||||
}
|
||||
|
||||
final List<String> sa = ((FieldList) a).stringList();
|
||||
final List<String> sb = ((FieldList) b).stringList();
|
||||
|
||||
if (sa.isEmpty() || sb.isEmpty()) {
|
||||
return -1;
|
||||
}
|
||||
|
||||
final Set<String> ca = sa.stream().map(this::translate).collect(Collectors.toSet());
|
||||
final Set<String> cb = sb.stream().map(this::translate).collect(Collectors.toSet());
|
||||
|
||||
// if at least one is a jolly type, it must produce a match
|
||||
if (ca.contains("*") || cb.contains("*"))
|
||||
return 1.0;
|
||||
|
||||
int incommon = Sets.intersection(ca, cb).size();
|
||||
|
||||
// if at least one is in common, it must produce a match
|
||||
return incommon >= 1 ? 1 : 0;
|
||||
}
|
||||
|
||||
public String translate(String term) {
|
||||
return translationMap.getOrDefault(term, term);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double getWeight() {
|
||||
return super.weight;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected double normalize(final double d) {
|
||||
return d;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,46 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
//case class JaroWinkler(w: Double) extends SecondStringDistanceAlgo(w, new com.wcohen.ss.JaroWinkler())
|
||||
@ComparatorClass("jaroWinkler")
|
||||
public class JaroWinkler extends AbstractComparator {
|
||||
|
||||
public JaroWinkler(Map<String, String> params) {
|
||||
super(params, new com.wcohen.ss.JaroWinkler());
|
||||
}
|
||||
|
||||
public JaroWinkler(double weight) {
|
||||
super(weight, new com.wcohen.ss.JaroWinkler());
|
||||
}
|
||||
|
||||
protected JaroWinkler(double weight, AbstractStringDistance ssalgo) {
|
||||
super(weight, ssalgo);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double distance(String a, String b, final Config conf) {
|
||||
String ca = cleanup(a);
|
||||
String cb = cleanup(b);
|
||||
|
||||
return normalize(ssalgo.score(ca, cb));
|
||||
}
|
||||
|
||||
@Override
|
||||
public double getWeight() {
|
||||
return super.weight;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected double normalize(double d) {
|
||||
return d;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,74 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
import java.util.Set;
|
||||
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("jaroWinklerNormalizedName")
|
||||
public class JaroWinklerNormalizedName extends AbstractComparator {
|
||||
|
||||
private Map<String, String> params;
|
||||
|
||||
public JaroWinklerNormalizedName(Map<String, String> params) {
|
||||
super(params, new com.wcohen.ss.JaroWinkler());
|
||||
this.params = params;
|
||||
}
|
||||
|
||||
public JaroWinklerNormalizedName(double weight) {
|
||||
super(weight, new com.wcohen.ss.JaroWinkler());
|
||||
}
|
||||
|
||||
protected JaroWinklerNormalizedName(double weight, AbstractStringDistance ssalgo) {
|
||||
super(weight, ssalgo);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double distance(String a, String b, final Config conf) {
|
||||
String ca = cleanup(a);
|
||||
String cb = cleanup(b);
|
||||
|
||||
ca = normalize(ca);
|
||||
cb = normalize(cb);
|
||||
|
||||
ca = filterAllStopWords(ca);
|
||||
cb = filterAllStopWords(cb);
|
||||
|
||||
Set<String> keywords1 = getKeywords(
|
||||
ca, conf.translationMap(), Integer.parseInt(params.getOrDefault("windowSize", "4")));
|
||||
Set<String> keywords2 = getKeywords(
|
||||
cb, conf.translationMap(), Integer.parseInt(params.getOrDefault("windowSize", "4")));
|
||||
|
||||
Set<String> cities1 = getCities(ca, Integer.parseInt(params.getOrDefault("windowSize", "4")));
|
||||
Set<String> cities2 = getCities(cb, Integer.parseInt(params.getOrDefault("windowSize", "4")));
|
||||
|
||||
ca = removeKeywords(ca, keywords1);
|
||||
ca = removeKeywords(ca, cities1);
|
||||
cb = removeKeywords(cb, keywords2);
|
||||
cb = removeKeywords(cb, cities2);
|
||||
|
||||
ca = ca.replaceAll("[ ]{2,}", " ");
|
||||
cb = cb.replaceAll("[ ]{2,}", " ");
|
||||
|
||||
if (ca.isEmpty() && cb.isEmpty())
|
||||
return 1.0;
|
||||
else
|
||||
return normalize(ssalgo.score(ca, cb));
|
||||
}
|
||||
|
||||
@Override
|
||||
public double getWeight() {
|
||||
return super.weight;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected double normalize(double d) {
|
||||
return d;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,47 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
//case class JaroWinkler(w: Double) extends SecondStringDistanceAlgo(w, new com.wcohen.ss.JaroWinkler())
|
||||
@ComparatorClass("jaroWinklerTitle")
|
||||
public class JaroWinklerTitle extends AbstractComparator {
|
||||
|
||||
public JaroWinklerTitle(Map<String, String> params) {
|
||||
super(params, new com.wcohen.ss.JaroWinkler());
|
||||
}
|
||||
|
||||
public JaroWinklerTitle(double weight) {
|
||||
super(weight, new com.wcohen.ss.JaroWinkler());
|
||||
}
|
||||
|
||||
protected JaroWinklerTitle(double weight, AbstractStringDistance ssalgo) {
|
||||
super(weight, ssalgo);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double distance(String a, String b, final Config conf) {
|
||||
String ca = cleanup(a);
|
||||
String cb = cleanup(b);
|
||||
|
||||
boolean check = checkNumbers(ca, cb);
|
||||
return check ? 0.5 : normalize(ssalgo.score(ca, cb));
|
||||
}
|
||||
|
||||
@Override
|
||||
public double getWeight() {
|
||||
return super.weight;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected double normalize(double d) {
|
||||
return d;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,81 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Set;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import org.apache.commons.logging.Log;
|
||||
import org.apache.commons.logging.LogFactory;
|
||||
|
||||
import com.google.common.collect.Sets;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.model.FieldList;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
import eu.dnetlib.pace.util.MapDocumentUtil;
|
||||
|
||||
@ComparatorClass("jsonListMatch")
|
||||
public class JsonListMatch extends AbstractComparator {
|
||||
|
||||
private static final Log log = LogFactory.getLog(JsonListMatch.class);
|
||||
private Map<String, String> params;
|
||||
|
||||
private String MODE; // "percentage" or "count"
|
||||
|
||||
public JsonListMatch(final Map<String, String> params) {
|
||||
super(params);
|
||||
this.params = params;
|
||||
|
||||
MODE = params.getOrDefault("mode", "percentage");
|
||||
}
|
||||
|
||||
@Override
|
||||
public double compare(final Field a, final Field b, final Config conf) {
|
||||
|
||||
final List<String> sa = ((FieldList) a).stringList();
|
||||
final List<String> sb = ((FieldList) b).stringList();
|
||||
|
||||
if (sa.isEmpty() || sb.isEmpty()) {
|
||||
return -1;
|
||||
}
|
||||
|
||||
final Set<String> ca = sa.stream().map(this::toComparableString).collect(Collectors.toSet());
|
||||
final Set<String> cb = sb.stream().map(this::toComparableString).collect(Collectors.toSet());
|
||||
|
||||
int incommon = Sets.intersection(ca, cb).size();
|
||||
int simDiff = Sets.symmetricDifference(ca, cb).size();
|
||||
|
||||
if (incommon + simDiff == 0) {
|
||||
return 0.0;
|
||||
}
|
||||
|
||||
if (MODE.equals("percentage"))
|
||||
return (double) incommon / (incommon + simDiff);
|
||||
else
|
||||
return incommon;
|
||||
|
||||
}
|
||||
|
||||
// converts every json into a comparable string basing on parameters
|
||||
private String toComparableString(String json) {
|
||||
|
||||
StringBuilder st = new StringBuilder(); // to build the string used for comparisons basing on the jpath into
|
||||
// parameters
|
||||
|
||||
// for each path in the param list
|
||||
for (String key : params.keySet().stream().filter(k -> k.contains("jpath")).collect(Collectors.toList())) {
|
||||
String path = params.get(key);
|
||||
String value = MapDocumentUtil.getJPathString(path, json);
|
||||
if (value == null || value.isEmpty())
|
||||
value = "";
|
||||
st.append(value + "::");
|
||||
}
|
||||
|
||||
st.setLength(st.length() - 2);
|
||||
return st.toString();
|
||||
}
|
||||
}
|
|
@ -0,0 +1,50 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
import java.util.Set;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("keywordMatch")
|
||||
public class KeywordMatch extends AbstractComparator {
|
||||
|
||||
Map<String, String> params;
|
||||
|
||||
public KeywordMatch(Map<String, String> params) {
|
||||
super(params);
|
||||
this.params = params;
|
||||
}
|
||||
|
||||
@Override
|
||||
public double distance(final String a, final String b, final Config conf) {
|
||||
|
||||
String ca = cleanup(a);
|
||||
String cb = cleanup(b);
|
||||
|
||||
ca = normalize(ca);
|
||||
cb = normalize(cb);
|
||||
|
||||
ca = filterAllStopWords(ca);
|
||||
cb = filterAllStopWords(cb);
|
||||
|
||||
Set<String> keywords1 = getKeywords(
|
||||
ca, conf.translationMap(), Integer.parseInt(params.getOrDefault("windowSize", "4")));
|
||||
Set<String> keywords2 = getKeywords(
|
||||
cb, conf.translationMap(), Integer.parseInt(params.getOrDefault("windowSize", "4")));
|
||||
|
||||
Set<String> codes1 = toCodes(keywords1, conf.translationMap());
|
||||
Set<String> codes2 = toCodes(keywords2, conf.translationMap());
|
||||
|
||||
// if no cities are detected, the comparator gives 1.0
|
||||
if (codes1.isEmpty() && codes2.isEmpty())
|
||||
return 1.0;
|
||||
else {
|
||||
if (codes1.isEmpty() ^ codes2.isEmpty())
|
||||
return -1.0; // undefined if one of the two has no keywords
|
||||
return commonElementsPercentage(codes1, codes2);
|
||||
}
|
||||
}
|
||||
}
|
|
@ -0,0 +1,36 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("level2JaroWinkler")
|
||||
public class Level2JaroWinkler extends AbstractComparator {
|
||||
|
||||
public Level2JaroWinkler(Map<String, String> params) {
|
||||
super(params, new com.wcohen.ss.Level2JaroWinkler());
|
||||
}
|
||||
|
||||
public Level2JaroWinkler(double w) {
|
||||
super(w, new com.wcohen.ss.Level2JaroWinkler());
|
||||
}
|
||||
|
||||
protected Level2JaroWinkler(double w, AbstractStringDistance ssalgo) {
|
||||
super(w, ssalgo);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double getWeight() {
|
||||
return super.weight;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected double normalize(double d) {
|
||||
return d;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,50 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("level2JaroWinklerTitle")
|
||||
public class Level2JaroWinklerTitle extends AbstractComparator {
|
||||
|
||||
public Level2JaroWinklerTitle(Map<String, String> params) {
|
||||
super(params, new com.wcohen.ss.Level2JaroWinkler());
|
||||
}
|
||||
|
||||
public Level2JaroWinklerTitle(final double w) {
|
||||
super(w, new com.wcohen.ss.Level2JaroWinkler());
|
||||
}
|
||||
|
||||
protected Level2JaroWinklerTitle(final double w, final AbstractStringDistance ssalgo) {
|
||||
super(w, ssalgo);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double distance(final String a, final String b, final Config conf) {
|
||||
final String ca = cleanup(a);
|
||||
final String cb = cleanup(b);
|
||||
|
||||
final boolean check = checkNumbers(ca, cb);
|
||||
|
||||
if (check)
|
||||
return 0.5;
|
||||
|
||||
return ssalgo.score(ca, cb);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double getWeight() {
|
||||
return super.weight;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected double normalize(final double d) {
|
||||
return d;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,36 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("level2Levenstein")
|
||||
public class Level2Levenstein extends AbstractComparator {
|
||||
|
||||
public Level2Levenstein(Map<String, String> params) {
|
||||
super(params, new com.wcohen.ss.Level2Levenstein());
|
||||
}
|
||||
|
||||
public Level2Levenstein(double w) {
|
||||
super(w, new com.wcohen.ss.Level2Levenstein());
|
||||
}
|
||||
|
||||
protected Level2Levenstein(double w, AbstractStringDistance ssalgo) {
|
||||
super(w, ssalgo);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double getWeight() {
|
||||
return super.weight;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected double normalize(double d) {
|
||||
return 1 / Math.pow(Math.abs(d) + 1, 0.1);
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,36 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("levenstein")
|
||||
public class Levenstein extends AbstractComparator {
|
||||
|
||||
public Levenstein(Map<String, String> params) {
|
||||
super(params, new com.wcohen.ss.Levenstein());
|
||||
}
|
||||
|
||||
public Levenstein(double w) {
|
||||
super(w, new com.wcohen.ss.Levenstein());
|
||||
}
|
||||
|
||||
protected Levenstein(double w, AbstractStringDistance ssalgo) {
|
||||
super(w, ssalgo);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double getWeight() {
|
||||
return super.weight;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected double normalize(double d) {
|
||||
return 1 / Math.pow(Math.abs(d) + 1, 0.1);
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,59 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import org.apache.commons.logging.Log;
|
||||
import org.apache.commons.logging.LogFactory;
|
||||
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("levensteinTitle")
|
||||
public class LevensteinTitle extends AbstractComparator {
|
||||
|
||||
private static final Log log = LogFactory.getLog(LevensteinTitle.class);
|
||||
|
||||
public LevensteinTitle(Map<String, String> params) {
|
||||
super(params, new com.wcohen.ss.Levenstein());
|
||||
}
|
||||
|
||||
public LevensteinTitle(final double w) {
|
||||
super(w, new com.wcohen.ss.Levenstein());
|
||||
}
|
||||
|
||||
protected LevensteinTitle(final double w, final AbstractStringDistance ssalgo) {
|
||||
super(w, ssalgo);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double distance(final String a, final String b, final Config conf) {
|
||||
final String ca = cleanup(a);
|
||||
final String cb = cleanup(b);
|
||||
|
||||
final boolean check = checkNumbers(ca, cb);
|
||||
|
||||
if (check)
|
||||
return 0.5;
|
||||
|
||||
return normalize(ssalgo.score(ca, cb), ca.length(), cb.length());
|
||||
}
|
||||
|
||||
private double normalize(final double score, final int la, final int lb) {
|
||||
return 1 - (Math.abs(score) / Math.max(la, lb));
|
||||
}
|
||||
|
||||
@Override
|
||||
public double getWeight() {
|
||||
return super.weight;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected double normalize(final double d) {
|
||||
return 1 / Math.pow(Math.abs(d) + 1, 0.1);
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,58 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
/**
|
||||
* Compared compare between two titles, ignoring version numbers. Suitable for Software entities.
|
||||
*/
|
||||
@ComparatorClass("levensteinTitleIgnoreVersion")
|
||||
public class LevensteinTitleIgnoreVersion extends AbstractComparator {
|
||||
|
||||
public LevensteinTitleIgnoreVersion(Map<String, String> params) {
|
||||
super(params, new com.wcohen.ss.Levenstein());
|
||||
}
|
||||
|
||||
public LevensteinTitleIgnoreVersion(final double w) {
|
||||
super(w, new com.wcohen.ss.Levenstein());
|
||||
}
|
||||
|
||||
protected LevensteinTitleIgnoreVersion(final double w, final AbstractStringDistance ssalgo) {
|
||||
super(w, ssalgo);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double distance(final String a, final String b, final Config conf) {
|
||||
String ca = cleanup(a);
|
||||
String cb = cleanup(b);
|
||||
|
||||
ca = ca.replaceAll("\\d", "").replaceAll(getRomans(ca), "").trim();
|
||||
cb = cb.replaceAll("\\d", "").replaceAll(getRomans(cb), "").trim();
|
||||
|
||||
ca = filterAllStopWords(ca);
|
||||
cb = filterAllStopWords(cb);
|
||||
|
||||
return normalize(ssalgo.score(ca, cb), ca.length(), cb.length());
|
||||
}
|
||||
|
||||
private double normalize(final double score, final int la, final int lb) {
|
||||
return 1 - (Math.abs(score) / Math.max(la, lb));
|
||||
}
|
||||
|
||||
@Override
|
||||
public double getWeight() {
|
||||
return super.weight;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected double normalize(final double d) {
|
||||
return 1 / Math.pow(Math.abs(d) + 1, 0.1);
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,75 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Set;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import com.google.common.collect.Sets;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.model.FieldList;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
/**
|
||||
* The Class Contains match
|
||||
*
|
||||
* @author miconis
|
||||
* */
|
||||
@ComparatorClass("listContainsMatch")
|
||||
public class ListContainsMatch extends AbstractComparator {
|
||||
|
||||
private Map<String, String> params;
|
||||
private boolean CASE_SENSITIVE;
|
||||
private String STRING;
|
||||
private String AGGREGATOR;
|
||||
|
||||
public ListContainsMatch(Map<String, String> params) {
|
||||
super(params);
|
||||
this.params = params;
|
||||
|
||||
// read parameters
|
||||
CASE_SENSITIVE = Boolean.parseBoolean(params.getOrDefault("caseSensitive", "false"));
|
||||
STRING = params.get("string");
|
||||
AGGREGATOR = params.get("bool");
|
||||
}
|
||||
|
||||
@Override
|
||||
public double compare(final Field a, final Field b, final Config conf) {
|
||||
|
||||
List<String> sa = ((FieldList) a).stringList();
|
||||
List<String> sb = ((FieldList) b).stringList();
|
||||
|
||||
if (sa.isEmpty() || sb.isEmpty()) {
|
||||
return -1;
|
||||
}
|
||||
|
||||
if (!CASE_SENSITIVE) {
|
||||
sa = sa.stream().map(String::toLowerCase).collect(Collectors.toList());
|
||||
sb = sb.stream().map(String::toLowerCase).collect(Collectors.toList());
|
||||
STRING = STRING.toLowerCase();
|
||||
}
|
||||
|
||||
switch (AGGREGATOR) {
|
||||
case "AND":
|
||||
if (sa.contains(STRING) && sb.contains(STRING))
|
||||
return 1.0;
|
||||
break;
|
||||
case "OR":
|
||||
if (sa.contains(STRING) || sb.contains(STRING))
|
||||
return 1.0;
|
||||
break;
|
||||
case "XOR":
|
||||
if (sa.contains(STRING) ^ sb.contains(STRING))
|
||||
return 1.0;
|
||||
break;
|
||||
default:
|
||||
return 0.0;
|
||||
}
|
||||
return 0.0;
|
||||
|
||||
}
|
||||
}
|
|
@ -0,0 +1,42 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("mustBeDifferent")
|
||||
public class MustBeDifferent extends AbstractComparator {
|
||||
|
||||
public MustBeDifferent(Map<String, String> params) {
|
||||
super(params, new com.wcohen.ss.Levenstein());
|
||||
}
|
||||
|
||||
public MustBeDifferent(final double weight) {
|
||||
super(weight, new com.wcohen.ss.JaroWinkler());
|
||||
}
|
||||
|
||||
protected MustBeDifferent(final double weight, final AbstractStringDistance ssalgo) {
|
||||
super(weight, ssalgo);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double distance(final String a, final String b, final Config conf) {
|
||||
return !a.equals(b) ? 1.0 : 0;
|
||||
}
|
||||
|
||||
@Override
|
||||
public double getWeight() {
|
||||
return super.weight;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected double normalize(final double d) {
|
||||
return d;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,25 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.tree.support.Comparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
/**
|
||||
* Not all fields of a document need to partecipate in the compare measure. We model those fields as having a
|
||||
* NullDistanceAlgo.
|
||||
*/
|
||||
@ComparatorClass("null")
|
||||
public class NullDistanceAlgo implements Comparator {
|
||||
|
||||
public NullDistanceAlgo(Map<String, String> params) {
|
||||
}
|
||||
|
||||
@Override
|
||||
public double compare(Field a, Field b, Config config) {
|
||||
return 0;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,35 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("numbersComparator")
|
||||
public class NumbersComparator extends AbstractComparator {
|
||||
|
||||
Map<String, String> params;
|
||||
|
||||
public NumbersComparator(Map<String, String> params) {
|
||||
super(params);
|
||||
this.params = params;
|
||||
}
|
||||
|
||||
@Override
|
||||
public double distance(String a, String b, Config conf) {
|
||||
|
||||
// extracts numbers from the field
|
||||
String numbers1 = getNumbers(nfd(a));
|
||||
String numbers2 = getNumbers(nfd(b));
|
||||
|
||||
if (numbers1.isEmpty() || numbers2.isEmpty())
|
||||
return -1.0;
|
||||
|
||||
int n1 = Integer.parseInt(numbers1);
|
||||
int n2 = Integer.parseInt(numbers2);
|
||||
|
||||
return Math.abs(n1 - n2);
|
||||
}
|
||||
}
|
|
@ -0,0 +1,35 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("numbersMatch")
|
||||
public class NumbersMatch extends AbstractComparator {
|
||||
|
||||
public NumbersMatch(Map<String, String> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double distance(String a, String b, Config conf) {
|
||||
|
||||
// extracts numbers from the field
|
||||
String numbers1 = getNumbers(nfd(a));
|
||||
String numbers2 = getNumbers(nfd(b));
|
||||
|
||||
if (numbers1.isEmpty() && numbers2.isEmpty())
|
||||
return 1.0;
|
||||
|
||||
if (numbers1.isEmpty() || numbers2.isEmpty())
|
||||
return -1.0;
|
||||
|
||||
if (numbers1.equals(numbers2))
|
||||
return 1.0;
|
||||
|
||||
return 0.0;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,35 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("romansMatch")
|
||||
public class RomansMatch extends AbstractComparator {
|
||||
|
||||
public RomansMatch(Map<String, String> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double distance(String a, String b, Config conf) {
|
||||
|
||||
// extracts romans from the field
|
||||
String romans1 = getRomans(nfd(a));
|
||||
String romans2 = getRomans(nfd(b));
|
||||
|
||||
if (romans1.isEmpty() && romans2.isEmpty())
|
||||
return 1.0;
|
||||
|
||||
if (romans1.isEmpty() || romans2.isEmpty())
|
||||
return -1.0;
|
||||
|
||||
if (romans1.equals(romans2))
|
||||
return 1.0;
|
||||
|
||||
return 0.0;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,52 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
import com.google.common.collect.Iterables;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
/**
|
||||
* Returns true if the number of values in the fields is the same.
|
||||
*
|
||||
* @author claudio
|
||||
*/
|
||||
@ComparatorClass("sizeMatch")
|
||||
public class SizeMatch extends AbstractComparator {
|
||||
|
||||
/**
|
||||
* Instantiates a new size match.
|
||||
*
|
||||
* @param params
|
||||
* the parameters
|
||||
*/
|
||||
public SizeMatch(final Map<String, String> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double compare(final Field a, final Field b, final Config conf) {
|
||||
|
||||
if (a.isEmpty() || b.isEmpty())
|
||||
return -1;
|
||||
|
||||
return Iterables.size(a) == Iterables.size(b) ? 1 : 0;
|
||||
}
|
||||
|
||||
/**
|
||||
* Checks if is empty.
|
||||
*
|
||||
* @param a
|
||||
* the a
|
||||
* @return true, if is empty
|
||||
*/
|
||||
protected boolean isEmpty(final Iterable<?> a) {
|
||||
return (a == null) || Iterables.isEmpty(a);
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,61 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.tree.support.AbstractSortedComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
/**
|
||||
* The Class SortedJaroWinkler.
|
||||
*/
|
||||
@ComparatorClass("sortedJaroWinkler")
|
||||
public class SortedJaroWinkler extends AbstractSortedComparator {
|
||||
|
||||
public SortedJaroWinkler(Map<String, String> params) {
|
||||
super(params, new com.wcohen.ss.Levenstein());
|
||||
}
|
||||
|
||||
/**
|
||||
* Instantiates a new sorted jaro winkler.
|
||||
*
|
||||
* @param weight
|
||||
* the weight
|
||||
*/
|
||||
public SortedJaroWinkler(final double weight) {
|
||||
super(weight, new com.wcohen.ss.JaroWinkler());
|
||||
}
|
||||
|
||||
/**
|
||||
* Instantiates a new sorted jaro winkler.
|
||||
*
|
||||
* @param weight
|
||||
* the weight
|
||||
* @param ssalgo
|
||||
* the ssalgo
|
||||
*/
|
||||
protected SortedJaroWinkler(final double weight, final AbstractStringDistance ssalgo) {
|
||||
super(weight, ssalgo);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.compare.DistanceAlgo#getWeight()
|
||||
*/
|
||||
@Override
|
||||
public double getWeight() {
|
||||
return super.weight;
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.compare.SecondStringDistanceAlgo#normalize(double)
|
||||
*/
|
||||
@Override
|
||||
protected double normalize(final double d) {
|
||||
return d;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,61 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.tree.support.AbstractSortedComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
/**
|
||||
* The Class SortedJaroWinkler.
|
||||
*/
|
||||
@ComparatorClass("sortedLevel2JaroWinkler")
|
||||
public class SortedLevel2JaroWinkler extends AbstractSortedComparator {
|
||||
|
||||
/**
|
||||
* Instantiates a new sorted jaro winkler.
|
||||
*
|
||||
* @param weight
|
||||
* the weight
|
||||
*/
|
||||
public SortedLevel2JaroWinkler(final double weight) {
|
||||
super(weight, new com.wcohen.ss.Level2JaroWinkler());
|
||||
}
|
||||
|
||||
public SortedLevel2JaroWinkler(final Map<String, String> params) {
|
||||
super(params, new com.wcohen.ss.Level2JaroWinkler());
|
||||
}
|
||||
|
||||
/**
|
||||
* Instantiates a new sorted jaro winkler.
|
||||
*
|
||||
* @param weight
|
||||
* the weight
|
||||
* @param ssalgo
|
||||
* the ssalgo
|
||||
*/
|
||||
protected SortedLevel2JaroWinkler(final double weight, final AbstractStringDistance ssalgo) {
|
||||
super(weight, ssalgo);
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.compare.DistanceAlgo#getWeight()
|
||||
*/
|
||||
@Override
|
||||
public double getWeight() {
|
||||
return super.weight;
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.compare.SecondStringDistanceAlgo#normalize(double)
|
||||
*/
|
||||
@Override
|
||||
protected double normalize(final double d) {
|
||||
return d;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,67 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
/**
|
||||
* The Class Contains match
|
||||
*
|
||||
* @author miconis
|
||||
* */
|
||||
@ComparatorClass("stringContainsMatch")
|
||||
public class StringContainsMatch extends AbstractComparator {
|
||||
|
||||
private Map<String, String> params;
|
||||
|
||||
private boolean CASE_SENSITIVE;
|
||||
private String STRING;
|
||||
private String AGGREGATOR;
|
||||
|
||||
public StringContainsMatch(Map<String, String> params) {
|
||||
super(params);
|
||||
this.params = params;
|
||||
|
||||
// read parameters
|
||||
CASE_SENSITIVE = Boolean.parseBoolean(params.getOrDefault("caseSensitive", "false"));
|
||||
STRING = params.get("string");
|
||||
AGGREGATOR = params.get("aggregator");
|
||||
|
||||
}
|
||||
|
||||
@Override
|
||||
public double distance(final String a, final String b, final Config conf) {
|
||||
|
||||
String ca = a;
|
||||
String cb = b;
|
||||
if (!CASE_SENSITIVE) {
|
||||
ca = a.toLowerCase();
|
||||
cb = b.toLowerCase();
|
||||
STRING = STRING.toLowerCase();
|
||||
}
|
||||
|
||||
if (AGGREGATOR != null) {
|
||||
switch (AGGREGATOR) {
|
||||
case "AND":
|
||||
if (ca.contains(STRING) && cb.contains(STRING))
|
||||
return 1.0;
|
||||
break;
|
||||
case "OR":
|
||||
if (ca.contains(STRING) || cb.contains(STRING))
|
||||
return 1.0;
|
||||
break;
|
||||
case "XOR":
|
||||
if (ca.contains(STRING) ^ cb.contains(STRING))
|
||||
return 1.0;
|
||||
break;
|
||||
default:
|
||||
return 0.0;
|
||||
}
|
||||
}
|
||||
|
||||
return 0.0;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,57 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.HashSet;
|
||||
import java.util.Map;
|
||||
import java.util.Set;
|
||||
|
||||
import org.apache.commons.logging.Log;
|
||||
import org.apache.commons.logging.LogFactory;
|
||||
|
||||
import com.google.common.collect.Sets;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.model.FieldList;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("stringListMatch")
|
||||
public class StringListMatch extends AbstractComparator {
|
||||
|
||||
private static final Log log = LogFactory.getLog(StringListMatch.class);
|
||||
private Map<String, String> params;
|
||||
|
||||
final private String TYPE; // percentage or count
|
||||
|
||||
public StringListMatch(final Map<String, String> params) {
|
||||
super(params);
|
||||
this.params = params;
|
||||
|
||||
TYPE = params.getOrDefault("type", "percentage");
|
||||
}
|
||||
|
||||
@Override
|
||||
public double compare(final Field a, final Field b, final Config conf) {
|
||||
|
||||
final Set<String> pa = new HashSet<>(((FieldList) a).stringList());
|
||||
final Set<String> pb = new HashSet<>(((FieldList) b).stringList());
|
||||
|
||||
if (pa.isEmpty() || pb.isEmpty()) {
|
||||
return -1; // return undefined if one of the two lists is empty
|
||||
}
|
||||
|
||||
int incommon = Sets.intersection(pa, pb).size();
|
||||
int simDiff = Sets.symmetricDifference(pa, pb).size();
|
||||
|
||||
if (incommon + simDiff == 0) {
|
||||
return 0.0;
|
||||
}
|
||||
|
||||
if (TYPE.equals("percentage"))
|
||||
return (double) incommon / (incommon + simDiff);
|
||||
else
|
||||
return incommon;
|
||||
|
||||
}
|
||||
}
|
|
@ -0,0 +1,99 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.config.Type;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
/**
|
||||
* The Class SubStringLevenstein.
|
||||
*/
|
||||
@ComparatorClass("subStringLevenstein")
|
||||
public class SubStringLevenstein extends AbstractComparator {
|
||||
|
||||
/** The limit. */
|
||||
protected int limit;
|
||||
|
||||
/**
|
||||
* Instantiates a new sub string levenstein.
|
||||
*
|
||||
* @param w
|
||||
* the w
|
||||
*/
|
||||
public SubStringLevenstein(final double w) {
|
||||
super(w, new com.wcohen.ss.Levenstein());
|
||||
}
|
||||
|
||||
public SubStringLevenstein(Map<String, String> params) {
|
||||
super(params, new com.wcohen.ss.Levenstein());
|
||||
this.limit = Integer.parseInt(params.getOrDefault("limit", "1"));
|
||||
}
|
||||
|
||||
/**
|
||||
* Instantiates a new sub string levenstein.
|
||||
*
|
||||
* @param w
|
||||
* the w
|
||||
* @param limit
|
||||
* the limit
|
||||
*/
|
||||
public SubStringLevenstein(final double w, final int limit) {
|
||||
super(w, new com.wcohen.ss.Levenstein());
|
||||
this.limit = limit;
|
||||
}
|
||||
|
||||
/**
|
||||
* Instantiates a new sub string levenstein.
|
||||
*
|
||||
* @param w
|
||||
* the w
|
||||
* @param limit
|
||||
* the limit
|
||||
* @param ssalgo
|
||||
* the ssalgo
|
||||
*/
|
||||
protected SubStringLevenstein(final double w, final int limit, final AbstractStringDistance ssalgo) {
|
||||
super(w, ssalgo);
|
||||
this.limit = limit;
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.compare.SecondStringDistanceAlgo#compare(eu.dnetlib.pace.model.Field,
|
||||
* eu.dnetlib.pace.model.Field)
|
||||
*/
|
||||
@Override
|
||||
public double distance(final Field a, final Field b, final Config conf) {
|
||||
if (a.getType().equals(Type.String) && b.getType().equals(Type.String))
|
||||
return distance(StringUtils.left(a.stringValue(), limit), StringUtils.left(b.stringValue(), limit), conf);
|
||||
|
||||
throw new IllegalArgumentException("invalid types\n- A: " + a.toString() + "\n- B: " + b.toString());
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.compare.DistanceAlgo#getWeight()
|
||||
*/
|
||||
@Override
|
||||
public double getWeight() {
|
||||
return super.weight;
|
||||
}
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
* @see eu.dnetlib.pace.compare.SecondStringDistanceAlgo#normalize(double)
|
||||
*/
|
||||
@Override
|
||||
protected double normalize(final double d) {
|
||||
return 1 / Math.pow(Math.abs(d) + 1, 0.1);
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,41 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
/**
|
||||
* Returns true if the titles in the given documents contains the same numbers, false otherwise.
|
||||
*
|
||||
* @author claudio
|
||||
*
|
||||
*/
|
||||
@ComparatorClass("titleVersionMatch")
|
||||
public class TitleVersionMatch extends AbstractComparator {
|
||||
|
||||
public TitleVersionMatch(final Map<String, String> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double compare(final Field a, final Field b, final Config conf) {
|
||||
final String valueA = getFirstValue(a);
|
||||
final String valueB = getFirstValue(b);
|
||||
|
||||
if (valueA.isEmpty() || valueB.isEmpty())
|
||||
return -1;
|
||||
|
||||
return notNull(valueA) && notNull(valueB) && !checkNumbers(valueA, valueB) ? 1 : 0;
|
||||
}
|
||||
|
||||
@Override
|
||||
public String toString() {
|
||||
return getClass().getSimpleName() + ":" + super.toString();
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,61 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.net.MalformedURLException;
|
||||
import java.net.URL;
|
||||
import java.util.Map;
|
||||
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
@ComparatorClass("urlMatcher")
|
||||
public class UrlMatcher extends Levenstein {
|
||||
|
||||
private Map<String, String> params;
|
||||
|
||||
public UrlMatcher(Map<String, String> params) {
|
||||
super(params);
|
||||
this.params = params;
|
||||
}
|
||||
|
||||
public UrlMatcher(double weight, Map<String, String> params) {
|
||||
super(weight);
|
||||
this.params = params;
|
||||
}
|
||||
|
||||
public void setParams(Map<String, String> params) {
|
||||
this.params = params;
|
||||
}
|
||||
|
||||
@Override
|
||||
public double distance(Field a, Field b, final Config conf) {
|
||||
final URL urlA = asUrl(getFirstValue(a));
|
||||
final URL urlB = asUrl(getFirstValue(b));
|
||||
|
||||
if (!urlA.getHost().equalsIgnoreCase(urlB.getHost())) {
|
||||
return 0.0;
|
||||
}
|
||||
|
||||
Double hostW = Double.parseDouble(params.getOrDefault("host", "0.5"));
|
||||
Double pathW = Double.parseDouble(params.getOrDefault("path", "0.5"));
|
||||
|
||||
if (StringUtils.isBlank(urlA.getPath()) || StringUtils.isBlank(urlB.getPath())) {
|
||||
return hostW * 0.5;
|
||||
}
|
||||
|
||||
return hostW + pathW * super.distance(urlA.getPath(), urlB.getPath(), conf);
|
||||
}
|
||||
|
||||
private URL asUrl(final String value) {
|
||||
try {
|
||||
return new URL(value);
|
||||
} catch (MalformedURLException e) {
|
||||
// should not happen as checked by pace typing
|
||||
throw new IllegalStateException("invalid URL: " + value);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,53 @@
|
|||
|
||||
package eu.dnetlib.pace.tree;
|
||||
|
||||
import java.util.Map;
|
||||
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.tree.support.AbstractComparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
/**
|
||||
* Returns true if the year of the date field in the given documents are the same, false when any of the two is invalid or it's missing.
|
||||
*
|
||||
* @author claudio
|
||||
*/
|
||||
@ComparatorClass("yearMatch")
|
||||
public class YearMatch extends AbstractComparator {
|
||||
|
||||
private int limit = 4;
|
||||
|
||||
public YearMatch(final Map<String, String> params) {
|
||||
super(params);
|
||||
}
|
||||
|
||||
@Override
|
||||
public double compare(final Field a, final Field b, final Config conf) {
|
||||
final String valueA = getNumbers(getFirstValue(a));
|
||||
final String valueB = getNumbers(getFirstValue(b));
|
||||
|
||||
if (valueA.isEmpty() || valueB.isEmpty())
|
||||
return -1;
|
||||
|
||||
final boolean lengthMatch = checkLength(valueA) && checkLength(valueB);
|
||||
final boolean onemissing = valueA.isEmpty() || valueB.isEmpty();
|
||||
|
||||
return lengthMatch && valueA.equals(valueB) || onemissing ? 1 : 0;
|
||||
}
|
||||
|
||||
protected boolean checkLength(final String s) {
|
||||
return s.length() == limit;
|
||||
}
|
||||
|
||||
protected String getFirstValue(final Field value) {
|
||||
return (value != null) && !value.isEmpty() ? StringUtils.left(value.stringValue(), limit) : "";
|
||||
}
|
||||
|
||||
@Override
|
||||
public String toString() {
|
||||
return getClass().getSimpleName() + ":" + super.toString();
|
||||
}
|
||||
}
|
|
@ -0,0 +1,130 @@
|
|||
|
||||
package eu.dnetlib.pace.tree.support;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.common.AbstractPaceFunctions;
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.config.Type;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.model.FieldList;
|
||||
|
||||
public abstract class AbstractComparator extends AbstractPaceFunctions implements Comparator {
|
||||
|
||||
/** The ssalgo. */
|
||||
protected AbstractStringDistance ssalgo;
|
||||
|
||||
/** The weight. */
|
||||
protected double weight = 0.0;
|
||||
|
||||
private Map<String, String> params;
|
||||
|
||||
protected AbstractComparator(Map<String, String> params) {
|
||||
this.params = params;
|
||||
}
|
||||
|
||||
protected AbstractComparator(Map<String, String> params, final AbstractStringDistance ssalgo) {
|
||||
this.params = params;
|
||||
this.weight = 1.0;
|
||||
this.ssalgo = ssalgo;
|
||||
}
|
||||
|
||||
/**
|
||||
* Instantiates a new second string compare algo.
|
||||
*
|
||||
* @param weight
|
||||
* the weight
|
||||
* @param ssalgo
|
||||
* the ssalgo
|
||||
*/
|
||||
protected AbstractComparator(final double weight, final AbstractStringDistance ssalgo) {
|
||||
this.ssalgo = ssalgo;
|
||||
this.weight = weight;
|
||||
}
|
||||
|
||||
protected AbstractComparator(final AbstractStringDistance ssalgo) {
|
||||
this.ssalgo = ssalgo;
|
||||
}
|
||||
|
||||
/**
|
||||
* Normalize.
|
||||
*
|
||||
* @param d
|
||||
* the d
|
||||
* @return the double
|
||||
*/
|
||||
protected double normalize(double d) {
|
||||
return d;
|
||||
}
|
||||
|
||||
/**
|
||||
* Distance.
|
||||
*
|
||||
* @param a
|
||||
* the a
|
||||
* @param b
|
||||
* the b
|
||||
* @return the double
|
||||
*/
|
||||
public double distance(final String a, final String b, final Config conf) {
|
||||
|
||||
if (a.isEmpty() || b.isEmpty()) {
|
||||
return -1; // return -1 if a field is missing
|
||||
}
|
||||
double score = ssalgo.score(a, b);
|
||||
return normalize(score);
|
||||
}
|
||||
|
||||
/**
|
||||
* Distance.
|
||||
*
|
||||
* @param a
|
||||
* the a
|
||||
* @param b
|
||||
* the b
|
||||
* @return the double
|
||||
*/
|
||||
protected double distance(final List<String> a, final List<String> b, final Config conf) {
|
||||
return distance(concat(a), concat(b), conf);
|
||||
}
|
||||
|
||||
public double distance(final Field a, final Field b, final Config conf) {
|
||||
if (a.getType().equals(Type.String) && b.getType().equals(Type.String))
|
||||
return distance(a.stringValue(), b.stringValue(), conf);
|
||||
if (a.getType().equals(Type.List) && b.getType().equals(Type.List))
|
||||
return distance(toList(a), toList(b), conf);
|
||||
|
||||
throw new IllegalArgumentException("invalid types\n- A: " + a.toString() + "\n- B: " + b.toString());
|
||||
}
|
||||
|
||||
@Override
|
||||
public double compare(final Field a, final Field b, final Config conf) {
|
||||
if (a.isEmpty() || b.isEmpty())
|
||||
return -1;
|
||||
if (a.getType().equals(Type.String) && b.getType().equals(Type.String))
|
||||
return distance(a.stringValue(), b.stringValue(), conf);
|
||||
if (a.getType().equals(Type.List) && b.getType().equals(Type.List))
|
||||
return distance(toList(a), toList(b), conf);
|
||||
|
||||
throw new IllegalArgumentException("invalid types\n- A: " + a.toString() + "\n- B: " + b.toString());
|
||||
}
|
||||
|
||||
/**
|
||||
* To list.
|
||||
*
|
||||
* @param list
|
||||
* the list
|
||||
* @return the list
|
||||
*/
|
||||
protected List<String> toList(final Field list) {
|
||||
return ((FieldList) list).stringList();
|
||||
}
|
||||
|
||||
public double getWeight() {
|
||||
return this.weight;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,40 @@
|
|||
|
||||
package eu.dnetlib.pace.tree.support;
|
||||
|
||||
import java.util.Collections;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
import com.google.common.collect.Lists;
|
||||
import com.wcohen.ss.AbstractStringDistance;
|
||||
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.model.FieldList;
|
||||
|
||||
public abstract class AbstractSortedComparator extends AbstractComparator {
|
||||
|
||||
/**
|
||||
* Instantiates a new sorted second string compare algo.
|
||||
*
|
||||
* @param weight
|
||||
* the weight
|
||||
* @param ssalgo
|
||||
* the ssalgo
|
||||
*/
|
||||
protected AbstractSortedComparator(final double weight, final AbstractStringDistance ssalgo) {
|
||||
super(weight, ssalgo);
|
||||
}
|
||||
|
||||
protected AbstractSortedComparator(final Map<String, String> params, final AbstractStringDistance ssalgo) {
|
||||
super(Double.parseDouble(params.get("weight")), ssalgo);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected List<String> toList(final Field list) {
|
||||
FieldList fl = (FieldList) list;
|
||||
List<String> values = Lists.newArrayList(fl.stringList());
|
||||
Collections.sort(values);
|
||||
return values;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,21 @@
|
|||
|
||||
package eu.dnetlib.pace.tree.support;
|
||||
|
||||
import eu.dnetlib.pace.util.PaceException;
|
||||
|
||||
public enum AggType {
|
||||
|
||||
W_MEAN, // weighted mean
|
||||
AVG, // average
|
||||
SUM, MAX, MIN, AND, // used for necessary conditions
|
||||
OR; // used for sufficient conditions
|
||||
|
||||
public static AggType getEnum(String value) {
|
||||
|
||||
try {
|
||||
return AggType.valueOf(value);
|
||||
} catch (IllegalArgumentException e) {
|
||||
throw new PaceException("Undefined aggregation type", e);
|
||||
}
|
||||
}
|
||||
}
|
|
@ -0,0 +1,14 @@
|
|||
|
||||
package eu.dnetlib.pace.tree.support;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
|
||||
public interface Comparator {
|
||||
|
||||
/*
|
||||
* return : -1 -> can't decide (i.e. missing field) >0 -> similarity degree (depends on the algorithm)
|
||||
*/
|
||||
public double compare(Field a, Field b, Config conf);
|
||||
|
||||
}
|
|
@ -0,0 +1,14 @@
|
|||
|
||||
package eu.dnetlib.pace.tree.support;
|
||||
|
||||
import java.lang.annotation.ElementType;
|
||||
import java.lang.annotation.Retention;
|
||||
import java.lang.annotation.RetentionPolicy;
|
||||
import java.lang.annotation.Target;
|
||||
|
||||
@Retention(RetentionPolicy.RUNTIME)
|
||||
@Target(ElementType.TYPE)
|
||||
public @interface ComparatorClass {
|
||||
|
||||
public String value();
|
||||
}
|
|
@ -0,0 +1,84 @@
|
|||
|
||||
package eu.dnetlib.pace.tree.support;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.io.Serializable;
|
||||
import java.util.Map;
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
|
||||
import eu.dnetlib.pace.util.PaceException;
|
||||
|
||||
/**
|
||||
* The class that defines the configuration of each field in the decision tree.
|
||||
* */
|
||||
public class FieldConf implements Serializable {
|
||||
|
||||
private String field; // name of the field on which apply the comparator
|
||||
private String comparator; // comparator name
|
||||
private double weight = 1.0; // weight for the field (to be used in the aggregation)
|
||||
private Map<String, String> params; // parameters
|
||||
|
||||
private boolean countIfUndefined;
|
||||
|
||||
public boolean isCountIfUndefined() {
|
||||
return countIfUndefined;
|
||||
}
|
||||
|
||||
public void setCountIfUndefined(boolean countIfUndefined) {
|
||||
this.countIfUndefined = countIfUndefined;
|
||||
}
|
||||
|
||||
public FieldConf() {
|
||||
}
|
||||
|
||||
public FieldConf(String field, String comparator, double weight, Map<String, String> params,
|
||||
boolean countIfUndefined) {
|
||||
this.field = field;
|
||||
this.comparator = comparator;
|
||||
this.weight = weight;
|
||||
this.params = params;
|
||||
this.countIfUndefined = countIfUndefined;
|
||||
}
|
||||
|
||||
public String getField() {
|
||||
return field;
|
||||
}
|
||||
|
||||
public void setField(String field) {
|
||||
this.field = field;
|
||||
}
|
||||
|
||||
public String getComparator() {
|
||||
return comparator;
|
||||
}
|
||||
|
||||
public void setComparator(String comparator) {
|
||||
this.comparator = comparator;
|
||||
}
|
||||
|
||||
public double getWeight() {
|
||||
return weight;
|
||||
}
|
||||
|
||||
public void setWeight(double weight) {
|
||||
this.weight = weight;
|
||||
}
|
||||
|
||||
public Map<String, String> getParams() {
|
||||
return params;
|
||||
}
|
||||
|
||||
public void setParams(Map<String, String> params) {
|
||||
this.params = params;
|
||||
}
|
||||
|
||||
@Override
|
||||
public String toString() {
|
||||
try {
|
||||
return new ObjectMapper().writeValueAsString(this);
|
||||
} catch (IOException e) {
|
||||
throw new PaceException("Impossible to convert to JSON: ", e);
|
||||
}
|
||||
}
|
||||
}
|
|
@ -0,0 +1,90 @@
|
|||
|
||||
package eu.dnetlib.pace.tree.support;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.io.Serializable;
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.util.PaceException;
|
||||
|
||||
/**
|
||||
* The class that contains the result of each comparison in the decision tree
|
||||
* */
|
||||
public class FieldStats implements Serializable {
|
||||
|
||||
private double weight; // weight for the field (to be used in the aggregation)
|
||||
private double threshold; // threshold for the field (to be used in some kind of aggregations)
|
||||
private double result; // the result of the comparison
|
||||
private Field a;
|
||||
private Field b;
|
||||
|
||||
private boolean countIfUndefined;
|
||||
|
||||
public FieldStats(double weight, double threshold, double result, boolean countIfUndefined, Field a, Field b) {
|
||||
this.weight = weight;
|
||||
this.threshold = threshold;
|
||||
this.result = result;
|
||||
this.countIfUndefined = countIfUndefined;
|
||||
this.a = a;
|
||||
this.b = b;
|
||||
}
|
||||
|
||||
public double getThreshold() {
|
||||
return threshold;
|
||||
}
|
||||
|
||||
public void setThreshold(double threshold) {
|
||||
this.threshold = threshold;
|
||||
}
|
||||
|
||||
public double getWeight() {
|
||||
return weight;
|
||||
}
|
||||
|
||||
public void setWeight(double weight) {
|
||||
this.weight = weight;
|
||||
}
|
||||
|
||||
public double getResult() {
|
||||
return result;
|
||||
}
|
||||
|
||||
public void setResult(double result) {
|
||||
this.result = result;
|
||||
}
|
||||
|
||||
public boolean isCountIfUndefined() {
|
||||
return countIfUndefined;
|
||||
}
|
||||
|
||||
public void setCountIfUndefined(boolean countIfUndefined) {
|
||||
this.countIfUndefined = countIfUndefined;
|
||||
}
|
||||
|
||||
public Field getA() {
|
||||
return a;
|
||||
}
|
||||
|
||||
public void setA(Field a) {
|
||||
this.a = a;
|
||||
}
|
||||
|
||||
public Field getB() {
|
||||
return b;
|
||||
}
|
||||
|
||||
public void setB(Field b) {
|
||||
this.b = b;
|
||||
}
|
||||
|
||||
@Override
|
||||
public String toString() {
|
||||
try {
|
||||
return new ObjectMapper().writeValueAsString(this);
|
||||
} catch (IOException e) {
|
||||
throw new PaceException("Impossible to convert to JSON: ", e);
|
||||
}
|
||||
}
|
||||
}
|
|
@ -0,0 +1,16 @@
|
|||
|
||||
package eu.dnetlib.pace.tree.support;
|
||||
|
||||
public enum MatchType {
|
||||
|
||||
MATCH, NO_MATCH, UNDEFINED;
|
||||
|
||||
public static MatchType parse(String value) {
|
||||
|
||||
try {
|
||||
return MatchType.valueOf(value);
|
||||
} catch (IllegalArgumentException e) {
|
||||
return MatchType.UNDEFINED; // return UNDEFINED if the enum is not parsable
|
||||
}
|
||||
}
|
||||
}
|
|
@ -0,0 +1,160 @@
|
|||
|
||||
package eu.dnetlib.pace.tree.support;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.io.Serializable;
|
||||
import java.io.StringWriter;
|
||||
import java.util.List;
|
||||
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
|
||||
import com.fasterxml.jackson.core.JsonProcessingException;
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.config.PaceConfig;
|
||||
import eu.dnetlib.pace.model.MapDocument;
|
||||
import eu.dnetlib.pace.util.PaceException;
|
||||
|
||||
public class TreeNodeDef implements Serializable {
|
||||
|
||||
final static String CROSS_COMPARE = "crossCompare";
|
||||
|
||||
private List<FieldConf> fields;
|
||||
private AggType aggregation;
|
||||
|
||||
private double threshold;
|
||||
|
||||
private String positive;
|
||||
private String negative;
|
||||
private String undefined;
|
||||
|
||||
boolean ignoreUndefined;
|
||||
|
||||
public TreeNodeDef(List<FieldConf> fields, AggType aggregation, double threshold, String positive, String negative,
|
||||
String undefined, boolean ignoreUndefined) {
|
||||
this.fields = fields;
|
||||
this.aggregation = aggregation;
|
||||
this.threshold = threshold;
|
||||
this.positive = positive;
|
||||
this.negative = negative;
|
||||
this.undefined = undefined;
|
||||
this.ignoreUndefined = ignoreUndefined;
|
||||
}
|
||||
|
||||
public TreeNodeDef() {
|
||||
}
|
||||
|
||||
// function for the evaluation of the node
|
||||
public TreeNodeStats evaluate(MapDocument doc1, MapDocument doc2, Config conf) {
|
||||
|
||||
TreeNodeStats stats = new TreeNodeStats();
|
||||
|
||||
// for each field in the node, it computes the
|
||||
for (FieldConf fieldConf : fields) {
|
||||
|
||||
double weight = fieldConf.getWeight();
|
||||
|
||||
double result;
|
||||
|
||||
// if the param specifies a cross comparison (i.e. compare elements from different fields), compute the
|
||||
// result for both sides and return the maximum
|
||||
if (fieldConf.getParams().keySet().stream().anyMatch(k -> k.contains(CROSS_COMPARE))) {
|
||||
String crossField = fieldConf.getParams().get(CROSS_COMPARE);
|
||||
double result1 = comparator(fieldConf)
|
||||
.compare(doc1.getFieldMap().get(fieldConf.getField()), doc2.getFieldMap().get(crossField), conf);
|
||||
double result2 = comparator(fieldConf)
|
||||
.compare(doc1.getFieldMap().get(crossField), doc2.getFieldMap().get(fieldConf.getField()), conf);
|
||||
result = Math.max(result1, result2);
|
||||
} else {
|
||||
result = comparator(fieldConf)
|
||||
.compare(
|
||||
doc1.getFieldMap().get(fieldConf.getField()), doc2.getFieldMap().get(fieldConf.getField()),
|
||||
conf);
|
||||
}
|
||||
|
||||
stats
|
||||
.addFieldStats(
|
||||
fieldConf.getComparator() + " on " + fieldConf.getField() + " " + fields.indexOf(fieldConf),
|
||||
new FieldStats(
|
||||
weight,
|
||||
Double.parseDouble(fieldConf.getParams().getOrDefault("threshold", "1.0")),
|
||||
result,
|
||||
fieldConf.isCountIfUndefined(),
|
||||
doc1.getFieldMap().get(fieldConf.getField()),
|
||||
doc2.getFieldMap().get(fieldConf.getField())));
|
||||
}
|
||||
|
||||
return stats;
|
||||
}
|
||||
|
||||
private Comparator comparator(final FieldConf field) {
|
||||
|
||||
return PaceConfig.resolver.getComparator(field.getComparator(), field.getParams());
|
||||
}
|
||||
|
||||
public List<FieldConf> getFields() {
|
||||
return fields;
|
||||
}
|
||||
|
||||
public void setFields(List<FieldConf> fields) {
|
||||
this.fields = fields;
|
||||
}
|
||||
|
||||
public AggType getAggregation() {
|
||||
return aggregation;
|
||||
}
|
||||
|
||||
public void setAggregation(AggType aggregation) {
|
||||
this.aggregation = aggregation;
|
||||
}
|
||||
|
||||
public double getThreshold() {
|
||||
return threshold;
|
||||
}
|
||||
|
||||
public void setThreshold(double threshold) {
|
||||
this.threshold = threshold;
|
||||
}
|
||||
|
||||
public String getPositive() {
|
||||
return positive;
|
||||
}
|
||||
|
||||
public void setPositive(String positive) {
|
||||
this.positive = positive;
|
||||
}
|
||||
|
||||
public String getNegative() {
|
||||
return negative;
|
||||
}
|
||||
|
||||
public void setNegative(String negative) {
|
||||
this.negative = negative;
|
||||
}
|
||||
|
||||
public String getUndefined() {
|
||||
return undefined;
|
||||
}
|
||||
|
||||
public void setUndefined(String undefined) {
|
||||
this.undefined = undefined;
|
||||
}
|
||||
|
||||
public boolean isIgnoreUndefined() {
|
||||
return ignoreUndefined;
|
||||
}
|
||||
|
||||
public void setIgnoreUndefined(boolean ignoreUndefined) {
|
||||
this.ignoreUndefined = ignoreUndefined;
|
||||
}
|
||||
|
||||
@Override
|
||||
public String toString() {
|
||||
try {
|
||||
return new ObjectMapper().writeValueAsString(this);
|
||||
} catch (IOException e) {
|
||||
throw new PaceException("Impossible to convert to JSON: ", e);
|
||||
}
|
||||
}
|
||||
}
|
|
@ -0,0 +1,134 @@
|
|||
|
||||
package eu.dnetlib.pace.tree.support;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.util.HashMap;
|
||||
import java.util.Map;
|
||||
|
||||
public class TreeNodeStats implements Serializable {
|
||||
|
||||
private Map<String, FieldStats> results; // this is an accumulator for the results of the node
|
||||
|
||||
public TreeNodeStats() {
|
||||
this.results = new HashMap<>();
|
||||
}
|
||||
|
||||
public Map<String, FieldStats> getResults() {
|
||||
return results;
|
||||
}
|
||||
|
||||
public void addFieldStats(String id, FieldStats fieldStats) {
|
||||
this.results.put(id, fieldStats);
|
||||
}
|
||||
|
||||
public int fieldsCount() {
|
||||
return this.results.size();
|
||||
}
|
||||
|
||||
public int undefinedCount() {
|
||||
int undefinedCount = 0;
|
||||
for (FieldStats fs : this.results.values()) {
|
||||
if (fs.getResult() == -1)
|
||||
undefinedCount++;
|
||||
}
|
||||
return undefinedCount;
|
||||
}
|
||||
|
||||
public double scoreSum() {
|
||||
double scoreSum = 0.0;
|
||||
for (FieldStats fs : this.results.values()) {
|
||||
if (fs.getResult() >= 0.0) {
|
||||
scoreSum += fs.getResult();
|
||||
}
|
||||
}
|
||||
return scoreSum;
|
||||
}
|
||||
|
||||
// return the sum of the weights without considering the fields with countIfMissing=false && result=-1
|
||||
public double weightSum() {
|
||||
double weightSum = 0.0;
|
||||
for (FieldStats fs : this.results.values()) {
|
||||
if (fs.getResult() >= 0.0 || (fs.getResult() < 0.0 && fs.isCountIfUndefined())) {
|
||||
weightSum += fs.getWeight();
|
||||
}
|
||||
}
|
||||
return weightSum;
|
||||
}
|
||||
|
||||
public double weightedScoreSum() {
|
||||
double weightedScoreSum = 0.0;
|
||||
for (FieldStats fs : this.results.values()) {
|
||||
if (fs.getResult() >= 0.0) {
|
||||
weightedScoreSum += fs.getResult() * fs.getWeight();
|
||||
}
|
||||
}
|
||||
return weightedScoreSum;
|
||||
}
|
||||
|
||||
public double max() {
|
||||
double max = -1.0;
|
||||
for (FieldStats fs : this.results.values()) {
|
||||
if (fs.getResult() > max)
|
||||
max = fs.getResult();
|
||||
}
|
||||
return max;
|
||||
}
|
||||
|
||||
public double min() {
|
||||
double min = 100.0; // random high value
|
||||
for (FieldStats fs : this.results.values()) {
|
||||
if (fs.getResult() < min) {
|
||||
if (fs.getResult() >= 0.0 || (fs.getResult() == -1 && fs.isCountIfUndefined()))
|
||||
min = fs.getResult();
|
||||
}
|
||||
}
|
||||
return min;
|
||||
}
|
||||
|
||||
// if at least one is true, return 1.0
|
||||
public double or() {
|
||||
for (FieldStats fieldStats : this.results.values()) {
|
||||
if (fieldStats.getResult() >= fieldStats.getThreshold())
|
||||
return 1.0;
|
||||
}
|
||||
return 0.0;
|
||||
}
|
||||
|
||||
// if at least one is false, return 0.0
|
||||
public double and() {
|
||||
for (FieldStats fieldStats : this.results.values()) {
|
||||
|
||||
if (fieldStats.getResult() == -1) {
|
||||
if (fieldStats.isCountIfUndefined())
|
||||
return 0.0;
|
||||
} else {
|
||||
if (fieldStats.getResult() < fieldStats.getThreshold())
|
||||
return 0.0;
|
||||
}
|
||||
|
||||
}
|
||||
return 1.0;
|
||||
}
|
||||
|
||||
public double getFinalScore(AggType aggregation) {
|
||||
|
||||
switch (aggregation) {
|
||||
case AVG:
|
||||
return scoreSum() / fieldsCount();
|
||||
case SUM:
|
||||
return scoreSum();
|
||||
case MAX:
|
||||
return max();
|
||||
case MIN:
|
||||
return min();
|
||||
case W_MEAN:
|
||||
return weightedScoreSum() / weightSum();
|
||||
case OR:
|
||||
return or();
|
||||
case AND:
|
||||
return and();
|
||||
default:
|
||||
return 0.0;
|
||||
}
|
||||
}
|
||||
}
|
|
@ -0,0 +1,92 @@
|
|||
|
||||
package eu.dnetlib.pace.tree.support;
|
||||
|
||||
import org.apache.commons.logging.Log;
|
||||
import org.apache.commons.logging.LogFactory;
|
||||
|
||||
import eu.dnetlib.pace.config.Config;
|
||||
import eu.dnetlib.pace.model.MapDocument;
|
||||
import eu.dnetlib.pace.util.PaceException;
|
||||
|
||||
/**
|
||||
* The compare between two documents is given by the weighted mean of the field distances
|
||||
*/
|
||||
public class TreeProcessor {
|
||||
|
||||
private static final Log log = LogFactory.getLog(TreeProcessor.class);
|
||||
|
||||
private Config config;
|
||||
|
||||
public TreeProcessor(final Config config) {
|
||||
this.config = config;
|
||||
}
|
||||
|
||||
public boolean compare(final MapDocument a, final MapDocument b) {
|
||||
// evaluate the decision tree
|
||||
return evaluateTree(a, b).getResult() == MatchType.MATCH;
|
||||
}
|
||||
|
||||
public TreeStats evaluateTree(final MapDocument doc1, final MapDocument doc2) {
|
||||
|
||||
TreeStats treeStats = new TreeStats();
|
||||
|
||||
String current = "start";
|
||||
|
||||
while (MatchType.parse(current) == MatchType.UNDEFINED) {
|
||||
|
||||
TreeNodeDef currentNode = config.decisionTree().get(current);
|
||||
// throw an exception if the node doesn't exist
|
||||
if (currentNode == null)
|
||||
throw new PaceException("Missing tree node: " + current);
|
||||
|
||||
TreeNodeStats stats = currentNode.evaluate(doc1, doc2, config);
|
||||
treeStats.addNodeStats(current, stats);
|
||||
|
||||
// if ignoreUndefined=false the miss is considered as undefined
|
||||
if (!currentNode.isIgnoreUndefined() && stats.undefinedCount() > 0) {
|
||||
current = currentNode.getUndefined();
|
||||
}
|
||||
// if ignoreUndefined=true the miss is ignored and the score computed anyway
|
||||
else if (stats.getFinalScore(currentNode.getAggregation()) >= currentNode.getThreshold()) {
|
||||
current = currentNode.getPositive();
|
||||
} else {
|
||||
current = currentNode.getNegative();
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
treeStats.setResult(MatchType.parse(current));
|
||||
return treeStats;
|
||||
}
|
||||
|
||||
public double computeScore(final MapDocument doc1, final MapDocument doc2) {
|
||||
String current = "start";
|
||||
double score = 0.0;
|
||||
|
||||
while (MatchType.parse(current) == MatchType.UNDEFINED) {
|
||||
|
||||
TreeNodeDef currentNode = config.decisionTree().get(current);
|
||||
// throw an exception if the node doesn't exist
|
||||
if (currentNode == null)
|
||||
throw new PaceException("The Tree Node doesn't exist: " + current);
|
||||
|
||||
TreeNodeStats stats = currentNode.evaluate(doc1, doc2, config);
|
||||
|
||||
score = stats.getFinalScore(currentNode.getAggregation());
|
||||
// if ignoreUndefined=false the miss is considered as undefined
|
||||
if (!currentNode.isIgnoreUndefined() && stats.undefinedCount() > 0) {
|
||||
current = currentNode.getUndefined();
|
||||
}
|
||||
// if ignoreUndefined=true the miss is ignored and the score computed anyway
|
||||
else if (stats.getFinalScore(currentNode.getAggregation()) >= currentNode.getThreshold()) {
|
||||
current = currentNode.getPositive();
|
||||
} else {
|
||||
current = currentNode.getNegative();
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
return score;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,52 @@
|
|||
|
||||
package eu.dnetlib.pace.tree.support;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.HashMap;
|
||||
import java.util.Map;
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
|
||||
import eu.dnetlib.pace.util.PaceException;
|
||||
|
||||
public class TreeStats {
|
||||
|
||||
// <layer_id, <field:comparator, result>>
|
||||
Map<String, TreeNodeStats> stats;
|
||||
MatchType result;
|
||||
|
||||
public TreeStats() {
|
||||
this.stats = new HashMap<>();
|
||||
this.result = MatchType.NO_MATCH;
|
||||
}
|
||||
|
||||
public MatchType getResult() {
|
||||
return this.result;
|
||||
}
|
||||
|
||||
public void setResult(MatchType result) {
|
||||
this.result = result;
|
||||
}
|
||||
|
||||
public Map<String, TreeNodeStats> getStats() {
|
||||
return stats;
|
||||
}
|
||||
|
||||
public void setStats(Map<String, TreeNodeStats> stats) {
|
||||
this.stats = stats;
|
||||
}
|
||||
|
||||
public void addNodeStats(String layerID, TreeNodeStats treeNodeStats) {
|
||||
this.stats.put(layerID, treeNodeStats);
|
||||
}
|
||||
|
||||
@Override
|
||||
public String toString() {
|
||||
try {
|
||||
return new ObjectMapper().writerWithDefaultPrettyPrinter().writeValueAsString(this);
|
||||
} catch (IOException e) {
|
||||
throw new PaceException("Impossible to convert to JSON: ", e);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,217 @@
|
|||
|
||||
package eu.dnetlib.pace.util;
|
||||
|
||||
import java.util.*;
|
||||
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
import org.apache.commons.logging.Log;
|
||||
import org.apache.commons.logging.LogFactory;
|
||||
|
||||
import com.google.common.collect.Lists;
|
||||
|
||||
import eu.dnetlib.pace.clustering.NGramUtils;
|
||||
import eu.dnetlib.pace.config.DedupConfig;
|
||||
import eu.dnetlib.pace.config.WfConfig;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.model.MapDocument;
|
||||
import eu.dnetlib.pace.model.MapDocumentComparator;
|
||||
import eu.dnetlib.pace.tree.support.TreeProcessor;
|
||||
|
||||
public class BlockProcessor {
|
||||
|
||||
public static final List<String> accumulators = new ArrayList<>();
|
||||
|
||||
private static final Log log = LogFactory.getLog(BlockProcessor.class);
|
||||
|
||||
private DedupConfig dedupConf;
|
||||
|
||||
public static void constructAccumulator(final DedupConfig dedupConf) {
|
||||
accumulators.add(String.format("%s::%s", dedupConf.getWf().getEntityType(), "records per hash key = 1"));
|
||||
accumulators
|
||||
.add(
|
||||
String
|
||||
.format(
|
||||
"%s::%s", dedupConf.getWf().getEntityType(), "missing " + dedupConf.getWf().getOrderField()));
|
||||
accumulators
|
||||
.add(
|
||||
String
|
||||
.format(
|
||||
"%s::%s", dedupConf.getWf().getEntityType(),
|
||||
String
|
||||
.format(
|
||||
"Skipped records for count(%s) >= %s", dedupConf.getWf().getOrderField(),
|
||||
dedupConf.getWf().getGroupMaxSize())));
|
||||
accumulators.add(String.format("%s::%s", dedupConf.getWf().getEntityType(), "skip list"));
|
||||
accumulators.add(String.format("%s::%s", dedupConf.getWf().getEntityType(), "dedupSimilarity (x2)"));
|
||||
accumulators
|
||||
.add(String.format("%s::%s", dedupConf.getWf().getEntityType(), "d < " + dedupConf.getWf().getThreshold()));
|
||||
}
|
||||
|
||||
public BlockProcessor(DedupConfig dedupConf) {
|
||||
this.dedupConf = dedupConf;
|
||||
}
|
||||
|
||||
public void processSortedBlock(final String key, final List<MapDocument> documents, final Reporter context) {
|
||||
if (documents.size() > 1) {
|
||||
// log.info("reducing key: '" + key + "' records: " + q.size());
|
||||
process(prepare(documents), context);
|
||||
|
||||
} else {
|
||||
context.incrementCounter(dedupConf.getWf().getEntityType(), "records per hash key = 1", 1);
|
||||
}
|
||||
}
|
||||
|
||||
public void process(final String key, final Iterable<MapDocument> documents, final Reporter context) {
|
||||
|
||||
final Queue<MapDocument> q = prepare(documents);
|
||||
|
||||
if (q.size() > 1) {
|
||||
// log.info("reducing key: '" + key + "' records: " + q.size());
|
||||
process(simplifyQueue(q, key, context), context);
|
||||
|
||||
} else {
|
||||
context.incrementCounter(dedupConf.getWf().getEntityType(), "records per hash key = 1", 1);
|
||||
}
|
||||
}
|
||||
|
||||
private Queue<MapDocument> prepare(final Iterable<MapDocument> documents) {
|
||||
final Queue<MapDocument> queue = new PriorityQueue<>(100,
|
||||
new MapDocumentComparator(dedupConf.getWf().getOrderField()));
|
||||
|
||||
final Set<String> seen = new HashSet<String>();
|
||||
final int queueMaxSize = dedupConf.getWf().getQueueMaxSize();
|
||||
|
||||
documents.forEach(doc -> {
|
||||
if (queue.size() <= queueMaxSize) {
|
||||
final String id = doc.getIdentifier();
|
||||
|
||||
if (!seen.contains(id)) {
|
||||
seen.add(id);
|
||||
queue.add(doc);
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
return queue;
|
||||
}
|
||||
|
||||
private Queue<MapDocument> simplifyQueue(final Queue<MapDocument> queue, final String ngram,
|
||||
final Reporter context) {
|
||||
final Queue<MapDocument> q = new LinkedList<>();
|
||||
|
||||
String fieldRef = "";
|
||||
final List<MapDocument> tempResults = Lists.newArrayList();
|
||||
|
||||
while (!queue.isEmpty()) {
|
||||
final MapDocument result = queue.remove();
|
||||
|
||||
final String orderFieldName = dedupConf.getWf().getOrderField();
|
||||
final Field orderFieldValue = result.values(orderFieldName);
|
||||
if (!orderFieldValue.isEmpty()) {
|
||||
final String field = NGramUtils.cleanupForOrdering(orderFieldValue.stringValue());
|
||||
if (field.equals(fieldRef)) {
|
||||
tempResults.add(result);
|
||||
} else {
|
||||
populateSimplifiedQueue(q, tempResults, context, fieldRef, ngram);
|
||||
tempResults.clear();
|
||||
tempResults.add(result);
|
||||
fieldRef = field;
|
||||
}
|
||||
} else {
|
||||
context
|
||||
.incrementCounter(
|
||||
dedupConf.getWf().getEntityType(), "missing " + dedupConf.getWf().getOrderField(), 1);
|
||||
}
|
||||
}
|
||||
populateSimplifiedQueue(q, tempResults, context, fieldRef, ngram);
|
||||
|
||||
return q;
|
||||
}
|
||||
|
||||
private void populateSimplifiedQueue(final Queue<MapDocument> q,
|
||||
final List<MapDocument> tempResults,
|
||||
final Reporter context,
|
||||
final String fieldRef,
|
||||
final String ngram) {
|
||||
WfConfig wf = dedupConf.getWf();
|
||||
if (tempResults.size() < wf.getGroupMaxSize()) {
|
||||
q.addAll(tempResults);
|
||||
} else {
|
||||
context
|
||||
.incrementCounter(
|
||||
wf.getEntityType(),
|
||||
String.format("Skipped records for count(%s) >= %s", wf.getOrderField(), wf.getGroupMaxSize()),
|
||||
tempResults.size());
|
||||
// log.info("Skipped field: " + fieldRef + " - size: " + tempResults.size() + " - ngram: " + ngram);
|
||||
}
|
||||
}
|
||||
|
||||
private void process(final Queue<MapDocument> queue, final Reporter context) {
|
||||
|
||||
while (!queue.isEmpty()) {
|
||||
|
||||
final MapDocument pivot = queue.remove();
|
||||
final String idPivot = pivot.getIdentifier();
|
||||
|
||||
WfConfig wf = dedupConf.getWf();
|
||||
final Field fieldsPivot = pivot.values(wf.getOrderField());
|
||||
final String fieldPivot = (fieldsPivot == null) || fieldsPivot.isEmpty() ? "" : fieldsPivot.stringValue();
|
||||
|
||||
if (fieldPivot != null) {
|
||||
int i = 0;
|
||||
for (final MapDocument curr : queue) {
|
||||
final String idCurr = curr.getIdentifier();
|
||||
|
||||
if (mustSkip(idCurr)) {
|
||||
|
||||
context.incrementCounter(wf.getEntityType(), "skip list", 1);
|
||||
|
||||
break;
|
||||
}
|
||||
|
||||
if (i > wf.getSlidingWindowSize()) {
|
||||
break;
|
||||
}
|
||||
|
||||
final Field fieldsCurr = curr.values(wf.getOrderField());
|
||||
final String fieldCurr = (fieldsCurr == null) || fieldsCurr.isEmpty() ? null
|
||||
: fieldsCurr.stringValue();
|
||||
|
||||
if (!idCurr.equals(idPivot) && (fieldCurr != null)) {
|
||||
|
||||
final TreeProcessor treeProcessor = new TreeProcessor(dedupConf);
|
||||
|
||||
emitOutput(treeProcessor.compare(pivot, curr), idPivot, idCurr, context);
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
private void emitOutput(final boolean result, final String idPivot, final String idCurr, final Reporter context) {
|
||||
|
||||
if (result) {
|
||||
writeSimilarity(context, idPivot, idCurr);
|
||||
context.incrementCounter(dedupConf.getWf().getEntityType(), "dedupSimilarity (x2)", 1);
|
||||
} else {
|
||||
context.incrementCounter(dedupConf.getWf().getEntityType(), "d < " + dedupConf.getWf().getThreshold(), 1);
|
||||
}
|
||||
}
|
||||
|
||||
private boolean mustSkip(final String idPivot) {
|
||||
return dedupConf.getWf().getSkipList().contains(getNsPrefix(idPivot));
|
||||
}
|
||||
|
||||
private String getNsPrefix(final String id) {
|
||||
return StringUtils.substringBetween(id, "|", "::");
|
||||
}
|
||||
|
||||
private void writeSimilarity(final Reporter context, final String from, final String to) {
|
||||
final String type = dedupConf.getWf().getEntityType();
|
||||
|
||||
context.emit(type, from, to);
|
||||
context.emit(type, to, from);
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,276 @@
|
|||
|
||||
package eu.dnetlib.pace.util;
|
||||
|
||||
import java.util.*;
|
||||
|
||||
import org.apache.commons.lang3.StringUtils;
|
||||
import org.apache.commons.logging.Log;
|
||||
import org.apache.commons.logging.LogFactory;
|
||||
|
||||
import com.google.common.collect.Lists;
|
||||
|
||||
import eu.dnetlib.pace.clustering.NGramUtils;
|
||||
import eu.dnetlib.pace.config.DedupConfig;
|
||||
import eu.dnetlib.pace.config.WfConfig;
|
||||
import eu.dnetlib.pace.model.Field;
|
||||
import eu.dnetlib.pace.model.MapDocument;
|
||||
import eu.dnetlib.pace.model.MapDocumentComparator;
|
||||
import eu.dnetlib.pace.tree.*;
|
||||
import eu.dnetlib.pace.tree.support.TreeProcessor;
|
||||
|
||||
public class BlockProcessorForTesting {
|
||||
|
||||
public static final List<String> accumulators = new ArrayList<>();
|
||||
|
||||
private static final Log log = LogFactory.getLog(eu.dnetlib.pace.util.BlockProcessorForTesting.class);
|
||||
|
||||
private DedupConfig dedupConf;
|
||||
|
||||
public static void constructAccumulator(final DedupConfig dedupConf) {
|
||||
accumulators.add(String.format("%s::%s", dedupConf.getWf().getEntityType(), "records per hash key = 1"));
|
||||
accumulators
|
||||
.add(
|
||||
String
|
||||
.format(
|
||||
"%s::%s", dedupConf.getWf().getEntityType(), "missing " + dedupConf.getWf().getOrderField()));
|
||||
accumulators
|
||||
.add(
|
||||
String
|
||||
.format(
|
||||
"%s::%s", dedupConf.getWf().getEntityType(),
|
||||
String
|
||||
.format(
|
||||
"Skipped records for count(%s) >= %s", dedupConf.getWf().getOrderField(),
|
||||
dedupConf.getWf().getGroupMaxSize())));
|
||||
accumulators.add(String.format("%s::%s", dedupConf.getWf().getEntityType(), "skip list"));
|
||||
accumulators.add(String.format("%s::%s", dedupConf.getWf().getEntityType(), "dedupSimilarity (x2)"));
|
||||
accumulators
|
||||
.add(String.format("%s::%s", dedupConf.getWf().getEntityType(), "d < " + dedupConf.getWf().getThreshold()));
|
||||
}
|
||||
|
||||
public BlockProcessorForTesting(DedupConfig dedupConf) {
|
||||
this.dedupConf = dedupConf;
|
||||
}
|
||||
|
||||
public void processSortedBlock(final String key, final List<MapDocument> documents, final Reporter context,
|
||||
boolean useTree, boolean noMatch) {
|
||||
if (documents.size() > 1) {
|
||||
// log.info("reducing key: '" + key + "' records: " + q.size());
|
||||
process(prepare(documents), context, useTree, noMatch);
|
||||
|
||||
} else {
|
||||
context.incrementCounter(dedupConf.getWf().getEntityType(), "records per hash key = 1", 1);
|
||||
}
|
||||
}
|
||||
|
||||
public void process(final String key, final Iterable<MapDocument> documents, final Reporter context,
|
||||
boolean useTree, boolean noMatch) {
|
||||
|
||||
final Queue<MapDocument> q = prepare(documents);
|
||||
|
||||
if (q.size() > 1) {
|
||||
// log.info("reducing key: '" + key + "' records: " + q.size());
|
||||
process(simplifyQueue(q, key, context), context, useTree, noMatch);
|
||||
|
||||
} else {
|
||||
context.incrementCounter(dedupConf.getWf().getEntityType(), "records per hash key = 1", 1);
|
||||
}
|
||||
}
|
||||
|
||||
private Queue<MapDocument> prepare(final Iterable<MapDocument> documents) {
|
||||
final Queue<MapDocument> queue = new PriorityQueue<>(100,
|
||||
new MapDocumentComparator(dedupConf.getWf().getOrderField()));
|
||||
|
||||
final Set<String> seen = new HashSet<String>();
|
||||
final int queueMaxSize = dedupConf.getWf().getQueueMaxSize();
|
||||
|
||||
documents.forEach(doc -> {
|
||||
if (queue.size() <= queueMaxSize) {
|
||||
final String id = doc.getIdentifier();
|
||||
|
||||
if (!seen.contains(id)) {
|
||||
seen.add(id);
|
||||
queue.add(doc);
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
return queue;
|
||||
}
|
||||
|
||||
private Queue<MapDocument> simplifyQueue(final Queue<MapDocument> queue, final String ngram,
|
||||
final Reporter context) {
|
||||
final Queue<MapDocument> q = new LinkedList<>();
|
||||
|
||||
String fieldRef = "";
|
||||
final List<MapDocument> tempResults = Lists.newArrayList();
|
||||
|
||||
while (!queue.isEmpty()) {
|
||||
final MapDocument result = queue.remove();
|
||||
|
||||
final String orderFieldName = dedupConf.getWf().getOrderField();
|
||||
final Field orderFieldValue = result.values(orderFieldName);
|
||||
if (!orderFieldValue.isEmpty()) {
|
||||
final String field = NGramUtils.cleanupForOrdering(orderFieldValue.stringValue());
|
||||
if (field.equals(fieldRef)) {
|
||||
tempResults.add(result);
|
||||
} else {
|
||||
populateSimplifiedQueue(q, tempResults, context, fieldRef, ngram);
|
||||
tempResults.clear();
|
||||
tempResults.add(result);
|
||||
fieldRef = field;
|
||||
}
|
||||
} else {
|
||||
context
|
||||
.incrementCounter(
|
||||
dedupConf.getWf().getEntityType(), "missing " + dedupConf.getWf().getOrderField(), 1);
|
||||
}
|
||||
}
|
||||
populateSimplifiedQueue(q, tempResults, context, fieldRef, ngram);
|
||||
|
||||
return q;
|
||||
}
|
||||
|
||||
private void populateSimplifiedQueue(final Queue<MapDocument> q,
|
||||
final List<MapDocument> tempResults,
|
||||
final Reporter context,
|
||||
final String fieldRef,
|
||||
final String ngram) {
|
||||
WfConfig wf = dedupConf.getWf();
|
||||
if (tempResults.size() < wf.getGroupMaxSize()) {
|
||||
q.addAll(tempResults);
|
||||
} else {
|
||||
context
|
||||
.incrementCounter(
|
||||
wf.getEntityType(),
|
||||
String.format("Skipped records for count(%s) >= %s", wf.getOrderField(), wf.getGroupMaxSize()),
|
||||
tempResults.size());
|
||||
// log.info("Skipped field: " + fieldRef + " - size: " + tempResults.size() + " - ngram: " + ngram);
|
||||
}
|
||||
}
|
||||
|
||||
private void process(final Queue<MapDocument> queue, final Reporter context, boolean useTree, boolean noMatch) {
|
||||
|
||||
while (!queue.isEmpty()) {
|
||||
|
||||
final MapDocument pivot = queue.remove();
|
||||
final String idPivot = pivot.getIdentifier();
|
||||
|
||||
WfConfig wf = dedupConf.getWf();
|
||||
final Field fieldsPivot = pivot.values(wf.getOrderField());
|
||||
final String fieldPivot = (fieldsPivot == null) || fieldsPivot.isEmpty() ? "" : fieldsPivot.stringValue();
|
||||
|
||||
if (fieldPivot != null) {
|
||||
int i = 0;
|
||||
for (final MapDocument curr : queue) {
|
||||
final String idCurr = curr.getIdentifier();
|
||||
|
||||
if (mustSkip(idCurr)) {
|
||||
|
||||
context.incrementCounter(wf.getEntityType(), "skip list", 1);
|
||||
|
||||
break;
|
||||
}
|
||||
|
||||
if (i > wf.getSlidingWindowSize()) {
|
||||
break;
|
||||
}
|
||||
|
||||
final Field fieldsCurr = curr.values(wf.getOrderField());
|
||||
final String fieldCurr = (fieldsCurr == null) || fieldsCurr.isEmpty() ? null
|
||||
: fieldsCurr.stringValue();
|
||||
|
||||
if (!idCurr.equals(idPivot) && (fieldCurr != null)) {
|
||||
|
||||
// draws no match relations (test purpose)
|
||||
if (noMatch) {
|
||||
emitOutput(!new TreeProcessor(dedupConf).compare(pivot, curr), idPivot, idCurr, context);
|
||||
} else {
|
||||
// use the decision tree implementation or the "normal" implementation of the similarity
|
||||
// score (valid only for publications)
|
||||
if (useTree)
|
||||
emitOutput(new TreeProcessor(dedupConf).compare(pivot, curr), idPivot, idCurr, context);
|
||||
else
|
||||
emitOutput(publicationCompare(pivot, curr, dedupConf), idPivot, idCurr, context);
|
||||
}
|
||||
// if(new TreeProcessor(dedupConf).compare(pivot, curr) != publicationCompare(pivot, curr, dedupConf)) {
|
||||
// emitOutput(true, idPivot, idCurr, context);
|
||||
// }
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
protected static boolean compareInstanceType(MapDocument a, MapDocument b, DedupConfig conf) {
|
||||
Map<String, String> params = new HashMap<>();
|
||||
InstanceTypeMatch instanceTypeMatch = new InstanceTypeMatch(params);
|
||||
double compare = instanceTypeMatch
|
||||
.compare(a.getFieldMap().get("instance"), b.getFieldMap().get("instance"), conf);
|
||||
return compare >= 1.0;
|
||||
}
|
||||
|
||||
private boolean publicationCompare(MapDocument a, MapDocument b, DedupConfig config) {
|
||||
// if the score gives 1, the publications are equivalent
|
||||
Map<String, String> params = new HashMap<>();
|
||||
params.put("jpath_value", "$.value");
|
||||
params.put("jpath_classid", "$.qualifier.classid");
|
||||
params.put("mode", "count");
|
||||
|
||||
double score = 0.0;
|
||||
|
||||
// levenstein title
|
||||
LevensteinTitle levensteinTitle = new LevensteinTitle(params);
|
||||
if (levensteinTitle.compare(a.getFieldMap().get("title"), b.getFieldMap().get("title"), config) >= 0.9) {
|
||||
score += 0.2;
|
||||
}
|
||||
|
||||
// pid
|
||||
JsonListMatch jsonListMatch = new JsonListMatch(params);
|
||||
if (jsonListMatch.compare(a.getFieldMap().get("pid"), b.getFieldMap().get("pid"), config) >= 1.0) {
|
||||
score += 0.5;
|
||||
}
|
||||
|
||||
// title version
|
||||
TitleVersionMatch titleVersionMatch = new TitleVersionMatch(params);
|
||||
double result1 = titleVersionMatch.compare(a.getFieldMap().get("title"), b.getFieldMap().get("title"), config);
|
||||
if (result1 < 0 || result1 >= 1.0) {
|
||||
score += 0.1;
|
||||
}
|
||||
|
||||
// authors match
|
||||
params.remove("mode");
|
||||
AuthorsMatch authorsMatch = new AuthorsMatch(params);
|
||||
double result2 = authorsMatch.compare(a.getFieldMap().get("authors"), b.getFieldMap().get("authors"), config);
|
||||
if (result2 < 0 || result2 >= 0.6) {
|
||||
score += 0.2;
|
||||
}
|
||||
|
||||
return score >= 0.5;
|
||||
}
|
||||
|
||||
private void emitOutput(final boolean result, final String idPivot, final String idCurr, final Reporter context) {
|
||||
|
||||
if (result) {
|
||||
writeSimilarity(context, idPivot, idCurr);
|
||||
context.incrementCounter(dedupConf.getWf().getEntityType(), "dedupSimilarity (x2)", 1);
|
||||
} else {
|
||||
context.incrementCounter(dedupConf.getWf().getEntityType(), "d < " + dedupConf.getWf().getThreshold(), 1);
|
||||
}
|
||||
}
|
||||
|
||||
private boolean mustSkip(final String idPivot) {
|
||||
return dedupConf.getWf().getSkipList().contains(getNsPrefix(idPivot));
|
||||
}
|
||||
|
||||
private String getNsPrefix(final String id) {
|
||||
return StringUtils.substringBetween(id, "|", "::");
|
||||
}
|
||||
|
||||
private void writeSimilarity(final Reporter context, final String from, final String to) {
|
||||
final String type = dedupConf.getWf().getEntityType();
|
||||
|
||||
context.emit(type, from, to);
|
||||
}
|
||||
}
|
|
@ -0,0 +1,18 @@
|
|||
|
||||
package eu.dnetlib.pace.util;
|
||||
|
||||
import org.apache.commons.lang3.text.WordUtils;
|
||||
|
||||
import com.google.common.base.Function;
|
||||
|
||||
public class Capitalise implements Function<String, String> {
|
||||
|
||||
private final char[] DELIM = {
|
||||
' ', '-'
|
||||
};
|
||||
|
||||
@Override
|
||||
public String apply(final String s) {
|
||||
return WordUtils.capitalize(s.toLowerCase(), DELIM);
|
||||
}
|
||||
};
|
File diff suppressed because it is too large
Load Diff
|
@ -0,0 +1,11 @@
|
|||
|
||||
package eu.dnetlib.pace.util;
|
||||
|
||||
import com.google.common.base.Function;
|
||||
|
||||
public class DotAbbreviations implements Function<String, String> {
|
||||
@Override
|
||||
public String apply(String s) {
|
||||
return s.length() == 1 ? s + "." : s;
|
||||
}
|
||||
};
|
|
@ -0,0 +1,177 @@
|
|||
|
||||
package eu.dnetlib.pace.util;
|
||||
|
||||
import java.math.BigDecimal;
|
||||
import java.util.*;
|
||||
import java.util.function.Predicate;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import com.fasterxml.jackson.core.JsonProcessingException;
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import com.jayway.jsonpath.Configuration;
|
||||
import com.jayway.jsonpath.JsonPath;
|
||||
import com.jayway.jsonpath.Option;
|
||||
|
||||
import eu.dnetlib.pace.config.DedupConfig;
|
||||
import eu.dnetlib.pace.config.Type;
|
||||
import eu.dnetlib.pace.model.*;
|
||||
import net.minidev.json.JSONArray;
|
||||
|
||||
public class MapDocumentUtil {
|
||||
|
||||
public static final String URL_REGEX = "^(http|https|ftp)\\://.*";
|
||||
public static Predicate<String> urlFilter = s -> s.trim().matches(URL_REGEX);
|
||||
|
||||
public static MapDocument asMapDocumentWithJPath(DedupConfig conf, final String json) {
|
||||
MapDocument m = new MapDocument();
|
||||
m.setIdentifier(getJPathString(conf.getWf().getIdPath(), json));
|
||||
Map<String, Field> stringField = new HashMap<>();
|
||||
conf.getPace().getModel().forEach(fdef -> {
|
||||
switch (fdef.getType()) {
|
||||
case String:
|
||||
case Int:
|
||||
stringField
|
||||
.put(
|
||||
fdef.getName(), new FieldValueImpl(fdef.getType(), fdef.getName(),
|
||||
truncateValue(getJPathString(fdef.getPath(), json), fdef.getLength())));
|
||||
break;
|
||||
case URL:
|
||||
String uv = getJPathString(fdef.getPath(), json);
|
||||
if (!urlFilter.test(uv))
|
||||
uv = "";
|
||||
stringField.put(fdef.getName(), new FieldValueImpl(fdef.getType(), fdef.getName(), uv));
|
||||
break;
|
||||
case List:
|
||||
case JSON:
|
||||
FieldListImpl fi = new FieldListImpl(fdef.getName(), fdef.getType());
|
||||
truncateList(getJPathList(fdef.getPath(), json, fdef.getType()), fdef.getSize())
|
||||
.stream()
|
||||
.map(item -> new FieldValueImpl(Type.String, fdef.getName(), item))
|
||||
.forEach(fi::add);
|
||||
stringField.put(fdef.getName(), fi);
|
||||
break;
|
||||
case DoubleArray:
|
||||
stringField
|
||||
.put(
|
||||
fdef.getName(),
|
||||
new FieldValueImpl(Type.DoubleArray,
|
||||
fdef.getName(),
|
||||
getJPathArray(fdef.getPath(), json)));
|
||||
break;
|
||||
case StringConcat:
|
||||
String[] jpaths = fdef.getPath().split("\\|\\|\\|");
|
||||
stringField
|
||||
.put(
|
||||
fdef.getName(),
|
||||
new FieldValueImpl(Type.String,
|
||||
fdef.getName(),
|
||||
truncateValue(
|
||||
Arrays
|
||||
.stream(jpaths)
|
||||
.map(jpath -> getJPathString(jpath, json))
|
||||
.collect(Collectors.joining(" ")),
|
||||
fdef.getLength())));
|
||||
break;
|
||||
}
|
||||
});
|
||||
m.setFieldMap(stringField);
|
||||
return m;
|
||||
}
|
||||
|
||||
public static List<String> getJPathList(String path, String json, Type type) {
|
||||
if (type == Type.List)
|
||||
return JsonPath
|
||||
.using(
|
||||
Configuration
|
||||
.defaultConfiguration()
|
||||
.addOptions(Option.ALWAYS_RETURN_LIST, Option.SUPPRESS_EXCEPTIONS))
|
||||
.parse(json)
|
||||
.read(path);
|
||||
Object jresult;
|
||||
List<String> result = new ArrayList<>();
|
||||
try {
|
||||
jresult = JsonPath.read(json, path);
|
||||
} catch (Throwable e) {
|
||||
return result;
|
||||
}
|
||||
if (jresult instanceof JSONArray) {
|
||||
|
||||
((JSONArray) jresult).forEach(it -> {
|
||||
|
||||
try {
|
||||
result.add(new ObjectMapper().writeValueAsString(it));
|
||||
} catch (JsonProcessingException e) {
|
||||
|
||||
}
|
||||
});
|
||||
return result;
|
||||
}
|
||||
|
||||
if (jresult instanceof LinkedHashMap) {
|
||||
try {
|
||||
result.add(new ObjectMapper().writeValueAsString(jresult));
|
||||
} catch (JsonProcessingException e) {
|
||||
|
||||
}
|
||||
return result;
|
||||
}
|
||||
if (jresult instanceof String) {
|
||||
result.add((String) jresult);
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
public static String getJPathString(final String jsonPath, final String json) {
|
||||
try {
|
||||
Object o = JsonPath.read(json, jsonPath);
|
||||
if (o instanceof String)
|
||||
return (String) o;
|
||||
if (o instanceof JSONArray && ((JSONArray) o).size() > 0)
|
||||
return (String) ((JSONArray) o).get(0);
|
||||
return "";
|
||||
} catch (Exception e) {
|
||||
return "";
|
||||
}
|
||||
}
|
||||
|
||||
public static double[] getJPathArray(final String jsonPath, final String json) {
|
||||
try {
|
||||
Object o = JsonPath.read(json, jsonPath);
|
||||
if (o instanceof double[])
|
||||
return (double[]) o;
|
||||
if (o instanceof JSONArray) {
|
||||
Object[] objects = ((JSONArray) o).toArray();
|
||||
double[] array = new double[objects.length];
|
||||
for (int i = 0; i < objects.length; i++) {
|
||||
if (objects[i] instanceof BigDecimal)
|
||||
array[i] = ((BigDecimal) objects[i]).doubleValue();
|
||||
else
|
||||
array[i] = (double) objects[i];
|
||||
}
|
||||
return array;
|
||||
}
|
||||
return new double[0];
|
||||
} catch (Exception e) {
|
||||
e.printStackTrace();
|
||||
return new double[0];
|
||||
}
|
||||
}
|
||||
|
||||
public static String truncateValue(String value, int length) {
|
||||
if (value == null)
|
||||
return "";
|
||||
|
||||
if (length == -1 || length > value.length())
|
||||
return value;
|
||||
|
||||
return value.substring(0, length);
|
||||
}
|
||||
|
||||
public static List<String> truncateList(List<String> list, int size) {
|
||||
if (size == -1 || size > list.size())
|
||||
return list;
|
||||
|
||||
return list.subList(0, size);
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,14 @@
|
|||
|
||||
package eu.dnetlib.pace.util;
|
||||
|
||||
public class PaceException extends RuntimeException {
|
||||
|
||||
public PaceException(String s, Throwable e) {
|
||||
super(s, e);
|
||||
}
|
||||
|
||||
public PaceException(String s) {
|
||||
super(s);
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,61 @@
|
|||
|
||||
package eu.dnetlib.pace.util;
|
||||
|
||||
import java.io.Serializable;
|
||||
import java.lang.reflect.InvocationTargetException;
|
||||
import java.util.Map;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
import org.reflections.Reflections;
|
||||
|
||||
import eu.dnetlib.pace.clustering.ClusteringClass;
|
||||
import eu.dnetlib.pace.clustering.ClusteringFunction;
|
||||
import eu.dnetlib.pace.tree.support.Comparator;
|
||||
import eu.dnetlib.pace.tree.support.ComparatorClass;
|
||||
|
||||
public class PaceResolver implements Serializable {
|
||||
|
||||
public static final Reflections CLUSTERING_RESOLVER = new Reflections("eu.dnetlib.pace.clustering");
|
||||
public static final Reflections COMPARATOR_RESOLVER = new Reflections("eu.dnetlib.pace.tree");
|
||||
|
||||
private final Map<String, Class<ClusteringFunction>> clusteringFunctions;
|
||||
private final Map<String, Class<Comparator>> comparators;
|
||||
|
||||
public PaceResolver() {
|
||||
|
||||
this.clusteringFunctions = CLUSTERING_RESOLVER
|
||||
.getTypesAnnotatedWith(ClusteringClass.class)
|
||||
.stream()
|
||||
.filter(ClusteringFunction.class::isAssignableFrom)
|
||||
.collect(
|
||||
Collectors
|
||||
.toMap(
|
||||
cl -> cl.getAnnotation(ClusteringClass.class).value(), cl -> (Class<ClusteringFunction>) cl));
|
||||
|
||||
this.comparators = COMPARATOR_RESOLVER
|
||||
.getTypesAnnotatedWith(ComparatorClass.class)
|
||||
.stream()
|
||||
.filter(Comparator.class::isAssignableFrom)
|
||||
.collect(
|
||||
Collectors.toMap(cl -> cl.getAnnotation(ComparatorClass.class).value(), cl -> (Class<Comparator>) cl));
|
||||
}
|
||||
|
||||
public ClusteringFunction getClusteringFunction(String name, Map<String, Integer> params) throws PaceException {
|
||||
try {
|
||||
return clusteringFunctions.get(name).getDeclaredConstructor(Map.class).newInstance(params);
|
||||
} catch (InstantiationException | IllegalAccessException | InvocationTargetException
|
||||
| NoSuchMethodException e) {
|
||||
throw new PaceException(name + " not found ", e);
|
||||
}
|
||||
}
|
||||
|
||||
public Comparator getComparator(String name, Map<String, String> params) throws PaceException {
|
||||
try {
|
||||
return comparators.get(name).getDeclaredConstructor(Map.class).newInstance(params);
|
||||
} catch (InstantiationException | IllegalAccessException | InvocationTargetException | NoSuchMethodException
|
||||
| NullPointerException e) {
|
||||
throw new PaceException(name + " not found ", e);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,11 @@
|
|||
|
||||
package eu.dnetlib.pace.util;
|
||||
|
||||
import java.io.Serializable;
|
||||
|
||||
public interface Reporter extends Serializable {
|
||||
|
||||
void incrementCounter(String counterGroup, String counterName, long delta);
|
||||
|
||||
void emit(String type, String from, String to);
|
||||
}
|
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue