code cleaning, distribution of the classes in packages and implementation of the new configuration

This commit is contained in:
miconis 2019-11-07 12:47:12 +01:00
parent 30a873265f
commit 0973899865
24 changed files with 314 additions and 326 deletions

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@ -20,15 +20,17 @@ import java.util.*;
import java.util.stream.Collectors;
/**
* Set of common functions
* 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_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");
@ -36,15 +38,14 @@ public abstract class AbstractPaceFunctions {
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");
//blacklist of ngrams: to avoid generic keys
protected static Set<String> ngramBlacklist = loadFromClasspath("/eu/dnetlib/pace/config/ngram_blacklist.txt");
private static final String alpha = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 ";
private static final String aliases_from = "⁰¹²³⁴⁵⁶⁷⁸⁹⁺⁻⁼⁽⁾ⁿ₀₁₂₃₄₅₆₇₈₉₊₋₌₍₎àáâäæãåāèéêëēėęîïíīįìôöòóœøōõûüùúūßśšłžźżçćčñń";
private static final String aliases_to = "0123456789+-=()n0123456789+-=()aaaaaaaaeeeeeeeiiiiiioooooooouuuuussslzzzcccnn";
private static final String special_from = "İə";
private static final String special_to = "Ie";
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:)";
protected final static FieldList EMPTY_FIELD = new FieldListImpl();
@ -54,8 +55,7 @@ public abstract class AbstractPaceFunctions {
}
protected String cleanup(final String s) {
final String ss = fixSpecial(s); //TODO is there something implemented to replace strange symbols with latin letters?
final String s0 = ss.toLowerCase();
final String s0 = s.toLowerCase();
final String s1 = fixAliases(s0);
final String s2 = nfd(s1);
final String s3 = s2.replaceAll("&ndash;", " ");
@ -63,15 +63,12 @@ public abstract class AbstractPaceFunctions {
final String s5 = s4.replaceAll("&quot;", " ");
final String s6 = s5.replaceAll("&minus;", " ");
final String s7 = s6.replaceAll("([0-9]+)", " $1 ");
final String s8 = s7.replaceAll("[^\\p{ASCII}]|\\p{Punct}", " ");
final String s9 = s8.replaceAll("\\n", " ");
final String s10 = s9.replaceAll("(?m)\\s+", " ");
final String s11 = s10.trim();
return s11;
}
protected String finalCleanup(final String s) {
return s.toLowerCase();
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 boolean checkNumbers(final String a, final String b) {
@ -98,16 +95,6 @@ public abstract class AbstractPaceFunctions {
return s.replaceAll("\\D", "");
}
//sometimes the toLowerCase() produces error, this is meant to prevent them by replacing special character before the lowercase function
protected static String fixSpecial(final String s) {
final StringBuilder sb = new StringBuilder();
for (final char ch : Lists.charactersOf(s)) {
final int i = StringUtils.indexOf(special_from, ch);
sb.append(i >= 0 ? special_to.charAt(i) : ch);
}
return sb.toString();
}
protected static String fixAliases(final String s) {
final StringBuilder sb = new StringBuilder();
for (final char ch : Lists.charactersOf(s)) {
@ -134,12 +121,11 @@ public abstract class AbstractPaceFunctions {
return s != null;
}
// ///////////////////////
protected String normalize(final String s) {
return nfd(s).toLowerCase()
return nfd(s)
.toLowerCase()
// do not compact the regexes in a single expression, would cause StackOverflowError in case of large input strings
.replaceAll("(\\W)+", " ")
.replaceAll("[^ \\w]+", "")
.replaceAll("(\\p{InCombiningDiacriticalMarks})+", "")
.replaceAll("(\\p{Punct})+", " ")
.replaceAll("(\\d)+", " ")
@ -147,7 +133,7 @@ public abstract class AbstractPaceFunctions {
.trim();
}
private String nfd(final String s) {
public String nfd(final String s) {
return Normalizer.normalize(s, Normalizer.Form.NFD);
}
@ -186,8 +172,6 @@ public abstract class AbstractPaceFunctions {
return newset;
}
// ////////////////////
public static Set<String> loadFromClasspath(final String classpath) {
final Set<String> h = Sets.newHashSet();
try {
@ -217,17 +201,6 @@ public abstract class AbstractPaceFunctions {
return m;
}
//translate the string: replace the keywords with the code
public String translate(String s1, Map<String, String> translationMap){
final StringTokenizer st = new StringTokenizer(s1);
final StringBuilder sb = new StringBuilder();
while (st.hasMoreTokens()){
final String token = st.nextToken();
sb.append(translationMap.getOrDefault(token,token) + " ");
}
return sb.toString().trim();
}
public String removeKeywords(String s, Set<String> keywords) {
s = " " + s + " ";
@ -238,7 +211,6 @@ public abstract class AbstractPaceFunctions {
return s.trim();
}
public double keywordsCompare(Set<String> s1, Set<String> s2, Map<String, String> translationMap){
Set<String> k1 = keywordsToCodes(s1, translationMap);
@ -252,23 +224,6 @@ public abstract class AbstractPaceFunctions {
return (double)CollectionUtils.intersection(k1,k2).size()/(double)longer;
}
//returns true if at least 1 city is in common
//returns true if no cities are contained in names
//returns false if one of the two names have no city
public boolean sameCity(Set<String> s1, Set<String> s2){
Set<String> c1 = citiesToCodes(s1);
Set<String> c2 = citiesToCodes(s2);
if (c1.isEmpty() && c2.isEmpty())
return true;
else {
if (c1.isEmpty() ^ c2.isEmpty())
return false;
return CollectionUtils.intersection(c1, c2).size() > 0;
}
}
//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());
@ -294,7 +249,7 @@ public abstract class AbstractPaceFunctions {
return pid.toLowerCase().replaceAll(DOI_PREFIX, "");
}
//get the list of codes into the input string
//get the list of keywords into the input string
public Set<String> getKeywords(String s1, Map<String, String> translationMap, int windowSize){
String s = s1;
@ -311,10 +266,10 @@ public abstract class AbstractPaceFunctions {
while (length != 0) {
for (int i = 0; i<=tokens.size()-length; i++){
String candidate = Joiner.on(" ").join(tokens.subList(i, i + length));
String candidate = concat(tokens.subList(i, i + length));
if (translationMap.containsKey(candidate)) {
codes.add(candidate);
s = s.replace(candidate, "");
s = s.replace(candidate, "").trim();
}
}

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@ -45,6 +45,7 @@ public class DedupConfig implements Config, Serializable {
defaults.put("slidingWindowSize", "200");
defaults.put("rootBuilder", "result");
defaults.put("includeChildren", "true");
defaults.put("maxIterations", "20");
}
public DedupConfig() {}

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@ -1,7 +1,7 @@
package eu.dnetlib.pace.config;
import com.google.common.collect.Maps;
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;
@ -9,11 +9,10 @@ import eu.dnetlib.pace.util.PaceResolver;
import org.codehaus.jackson.annotate.JsonIgnore;
import java.io.Serializable;
import java.text.Normalizer;
import java.util.List;
import java.util.Map;
public class PaceConfig implements Serializable {
public class PaceConfig extends AbstractPaceFunctions implements Serializable {
private List<FieldDef> model;
@ -46,7 +45,7 @@ public class PaceConfig implements Serializable {
for (String key : synonyms.keySet()) {
for (String term : synonyms.get(key)){
translationMap.put(
Normalizer.normalize(term.toLowerCase(), Normalizer.Form.NFD),
normalize(term.toLowerCase()),
key);
}
}

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@ -76,6 +76,12 @@ public class WfConfig implements Serializable {
/** 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;
public WfConfig() {}
/**
@ -104,7 +110,7 @@ public class WfConfig implements Serializable {
*/
public WfConfig(final String entityType, final String orderField, final List<String> rootBuilder, final String dedupRun,
final double threshold,
final Set<String> skipList, final int queueMaxSize, final int groupMaxSize, final int slidingWindowSize, final boolean includeChildren) {
final Set<String> skipList, final int queueMaxSize, final int groupMaxSize, final int slidingWindowSize, final boolean includeChildren, final int maxIterations) {
super();
this.entityType = entityType;
this.orderField = orderField;
@ -116,6 +122,7 @@ public class WfConfig implements Serializable {
this.groupMaxSize = groupMaxSize;
this.slidingWindowSize = slidingWindowSize;
this.includeChildren = includeChildren;
this.maxIterations = maxIterations;
}
/**
@ -245,6 +252,15 @@ public class WfConfig implements Serializable {
this.maxChildren = maxChildren;
}
public int getMaxIterations() {
return maxIterations;
}
public WfConfig setMaxIterations(int maxIterations) {
this.maxIterations = maxIterations;
return this;
}
/*
* (non-Javadoc)
*

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@ -5,6 +5,7 @@ import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
import eu.dnetlib.pace.config.Config;
import org.apache.commons.collections.CollectionUtils;
import java.util.Map;
import java.util.Set;
@ -44,7 +45,7 @@ public class JaroWinklerNormalizedName extends AbstractComparator {
Set<String> cities1 = getCities(ca, params.getOrDefault("windowSize", 4).intValue());
Set<String> cities2 = getCities(cb, params.getOrDefault("windowSize", 4).intValue());
if (sameCity(cities1,cities2)) {
if (checkCities(cities1,cities2)) {
if (keywordsCompare(keywords1, keywords2, conf.translationMap())>params.getOrDefault("threshold", 0.5).doubleValue()) {
@ -64,6 +65,22 @@ public class JaroWinklerNormalizedName extends AbstractComparator {
return 0.0;
}
//returns true if at least 1 city is in common
//returns true if no cities are contained in names
//returns false if one of the two names have no city
public boolean checkCities(Set<String> s1, Set<String> s2){
Set<String> c1 = citiesToCodes(s1);
Set<String> c2 = citiesToCodes(s2);
if (c1.isEmpty() && c2.isEmpty())
return true;
else {
if (c1.isEmpty() ^ c2.isEmpty())
return false;
return CollectionUtils.intersection(c1, c2).size() > 0;
}
}
@Override
public double getWeight() {
return super.weight;

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@ -31,10 +31,7 @@ public class Level2JaroWinklerTitle extends AbstractComparator {
if (check) return 0.5;
final String cca = finalCleanup(ca);
final String ccb = finalCleanup(cb);
return ssalgo.score(cca, ccb);
return ssalgo.score(ca, cb);
}
@Override

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@ -36,10 +36,7 @@ public class LevensteinTitle extends AbstractComparator {
if (check) return 0.5;
final String cca = finalCleanup(ca);
final String ccb = finalCleanup(cb);
return normalize(ssalgo.score(cca, ccb), cca.length(), ccb.length());
return normalize(ssalgo.score(ca, cb), ca.length(), cb.length());
}
private double normalize(final double score, final int la, final int lb) {

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@ -37,10 +37,7 @@ public class LevensteinTitleIgnoreVersion extends AbstractComparator {
ca = filterAllStopWords(ca);
cb = filterAllStopWords(cb);
final String cca = finalCleanup(ca);
final String ccb = finalCleanup(cb);
return normalize(ssalgo.score(cca, ccb), cca.length(), ccb.length());
return normalize(ssalgo.score(ca, cb), ca.length(), cb.length());
}
private double normalize(final double score, final int la, final int lb) {

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@ -4,11 +4,15 @@ import eu.dnetlib.pace.util.PaceException;
public enum AggType {
WEIGHTED_MEAN,
AVG,
W_MEAN, //weighted mean
AVG, //average
SUM,
MAX,
MIN;
MIN,
NC, //necessary condition
SC, //sufficient condition
AND,
OR;
public static AggType getEnum(String value) {

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@ -6,7 +6,7 @@ import eu.dnetlib.pace.model.Field;
public interface Comparator {
/*
* return : -1 -> can't decide (missing field)
* 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);

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@ -14,25 +14,25 @@ public class FieldConf implements Serializable {
private double weight = 1.0; //weight for the field (to be used in the aggregation)
private Map<String,Number> params; //parameters
private boolean ignoreMissing;
private boolean countIfUndefined;
public boolean isIgnoreMissing() {
return ignoreMissing;
public boolean isCountIfUndefined() {
return countIfUndefined;
}
public void setIgnoreMissing(boolean ignoreMissing) {
this.ignoreMissing = ignoreMissing;
public void setCountIfUndefined(boolean countIfUndefined) {
this.countIfUndefined = countIfUndefined;
}
public FieldConf() {
}
public FieldConf(String field, String comparator, double weight, Map<String, Number> params, boolean ignoreMissing) {
public FieldConf(String field, String comparator, double weight, Map<String, Number> params, boolean countIfUndefined) {
this.field = field;
this.comparator = comparator;
this.weight = weight;
this.params = params;
this.ignoreMissing = ignoreMissing;
this.countIfUndefined = countIfUndefined;
}
public String getField() {

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@ -4,7 +4,6 @@ import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.config.PaceConfig;
import eu.dnetlib.pace.model.MapDocument;
import eu.dnetlib.pace.util.PaceException;
import org.codehaus.jackson.annotate.JsonIgnore;
import org.codehaus.jackson.map.ObjectMapper;
import java.io.IOException;
@ -22,16 +21,16 @@ public class TreeNodeDef implements Serializable {
private String negative;
private String undefined;
boolean ignoreMissing;
boolean ignoreUndefined;
public TreeNodeDef(List<FieldConf> fields, AggType aggregation, double threshold, String positive, String negative, String undefined, boolean ignoreMissing) {
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.ignoreMissing = ignoreMissing;
this.ignoreUndefined = ignoreUndefined;
}
public TreeNodeDef() {
@ -48,9 +47,9 @@ public class TreeNodeDef implements Serializable {
double result = comparator(fieldConf).compare(doc1.getFieldMap().get(fieldConf.getField()), doc2.getFieldMap().get(fieldConf.getField()), conf);
if (result == -1) { //if the field is missing
stats.incrementMissCount();
if (!fieldConf.isIgnoreMissing()) {
if (result == -1) { //if the comparison is undefined
stats.incrementUndefinedCount();
if (fieldConf.isCountIfUndefined()) { //if it must be taken into account, increment weights (i.e. the average would be lower)
stats.incrementWeightsSum(weight);
}
}
@ -117,12 +116,12 @@ public class TreeNodeDef implements Serializable {
this.undefined = undefined;
}
public boolean isIgnoreMissing() {
return ignoreMissing;
public boolean isIgnoreUndefined() {
return ignoreUndefined;
}
public void setIgnoreMissing(boolean ignoreMissing) {
this.ignoreMissing = ignoreMissing;
public void setIgnoreUndefined(boolean ignoreUndefined) {
this.ignoreUndefined = ignoreUndefined;
}
@Override

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@ -7,7 +7,7 @@ import java.io.Serializable;
public class TreeNodeStats implements Serializable {
private DescriptiveStatistics stats;
private int missCount = 0;
private int undefinedCount = 0; //counter for the number of undefined comparisons between the fields in the tree node
private int fieldsCount = 0;
private double weightsSum = 0.0;
@ -15,8 +15,8 @@ public class TreeNodeStats implements Serializable {
this.stats = new DescriptiveStatistics();
}
public TreeNodeStats(int missCount, int fieldsCount, double weightsSum) {
this.missCount = missCount;
public TreeNodeStats(int undefinedCount, int fieldsCount, double weightsSum) {
this.undefinedCount = undefinedCount;
this.fieldsCount = fieldsCount;
this.weightsSum = weightsSum;
}
@ -29,12 +29,12 @@ public class TreeNodeStats implements Serializable {
this.stats = stats;
}
public int getMissCount() {
return missCount;
public int getUndefinedCount() {
return undefinedCount;
}
public void setMissCount(int missCount) {
this.missCount = missCount;
public void setUndefinedCount(int undefinedCount) {
this.undefinedCount = undefinedCount;
}
public int getFieldsCount() {
@ -57,8 +57,8 @@ public class TreeNodeStats implements Serializable {
this.weightsSum += delta;
}
public void incrementMissCount(){
this.missCount += 1;
public void incrementUndefinedCount(){
this.undefinedCount += 1;
}
public void incrementScoresSum(double delta){
@ -72,11 +72,15 @@ public class TreeNodeStats implements Serializable {
return stats.getMean();
case SUM:
return stats.getSum();
case SC:
case OR:
case MAX:
return stats.getMax();
case NC:
case AND:
case MIN:
return stats.getMin();
case WEIGHTED_MEAN:
case W_MEAN:
return stats.getSum()/weightsSum;
default:
return 0.0;

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@ -40,9 +40,11 @@ public class TreeProcessor {
TreeNodeStats stats = currentNode.evaluate(doc1, doc2, config);
if (!currentNode.isIgnoreMissing() && stats.getMissCount()>0) {
//if ignoreUndefined=false the miss is considered as undefined
if (!currentNode.isIgnoreUndefined() && stats.getUndefinedCount()>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();
}

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@ -1,5 +1,6 @@
package eu.dnetlib.pace;
import eu.dnetlib.pace.common.AbstractPaceFunctions;
import eu.dnetlib.pace.config.Type;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.FieldListImpl;
@ -11,7 +12,7 @@ import java.io.StringWriter;
import java.util.List;
import java.util.stream.Collectors;
public abstract class AbstractPaceTest {
public abstract class AbstractPaceTest extends AbstractPaceFunctions {
protected String readFromClasspath(final String filename) {
final StringWriter sw = new StringWriter();

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@ -18,7 +18,7 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
@Before
public void setUp() throws Exception {
params = Maps.newHashMap();
conf = DedupConfig.load(AbstractPaceFunctions.readFromClasspath("/eu/dnetlib/pace/config/org.curr.conf", ClusteringFunctionTest.class));
conf = DedupConfig.load(AbstractPaceFunctions.readFromClasspath("/eu/dnetlib/pace/config/organization.current.conf", ClusteringFunctionTest.class));
}
@Test

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@ -1,5 +1,6 @@
package eu.dnetlib.pace.common;
import org.junit.Assert;
import org.junit.Test;
import static junit.framework.Assert.assertEquals;
@ -7,6 +8,8 @@ import static junit.framework.Assert.assertTrue;
public class PaceFunctionTest extends AbstractPaceFunctions {
private final static String TEST_STRING = "Toshiba NB550D: è un netbook su piattaforma AMD Fusion⁽¹²⁾.";
@Test
public void normalizePidTest(){
@ -14,7 +17,6 @@ public class PaceFunctionTest extends AbstractPaceFunctions {
assertEquals("10.1109/tns.2015.2493347", normalizePid("10.1109/TNS.2015.2493347"));
assertEquals("10.0001/testdoi", normalizePid("http://dx.doi.org/10.0001/testDOI"));
assertEquals("10.0001/testdoi", normalizePid("https://dx.doi.org/10.0001/testDOI"));
}
@Test
@ -22,4 +24,35 @@ public class PaceFunctionTest extends AbstractPaceFunctions {
assertEquals("universita politecnica marche", filterAllStopWords("universita politecnica delle marche"));
}
@Test
public void normalizeTest() {
Assert.assertEquals("universitat", normalize("Universität"));
System.out.println(normalize("İstanbul Ticarət Universiteti"));
}
@Test
public void cleanupTest() {
assertEquals("istanbul ticaret universiteti", cleanup("İstanbul Ticarət Universiteti"));
System.out.println("cleaned up : " + cleanup(TEST_STRING));
}
@Test
public void testGetNumbers() {
System.out.println("Numbers : " + getNumbers(TEST_STRING));
}
@Test
public void testRemoveSymbols() {
System.out.println("Without symbols: " + removeSymbols(TEST_STRING));
}
@Test
public void testFixAliases() {
System.out.println("Fixed aliases : " + fixAliases(TEST_STRING));
}
}

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@ -14,9 +14,8 @@ import java.util.Map;
import static junit.framework.Assert.assertEquals;
import static junit.framework.Assert.assertTrue;
public class DistanceAlgoTest extends AbstractPaceFunctions {
public class ComparatorTest extends AbstractPaceFunctions {
private final static String TEST_STRING = "Toshiba NB550D: è un netbook su piattaforma AMD Fusion⁽¹²⁾.";
private Map<String, Number> params;
private DedupConfig conf;
@ -24,7 +23,8 @@ public class DistanceAlgoTest extends AbstractPaceFunctions {
public void setup() {
params = new HashMap<>();
params.put("weight", 1.0);
conf = DedupConfig.load(readFromClasspath("/eu/dnetlib/pace/config/org.curr.conf", DistanceAlgoTest.class));
conf = DedupConfig.load(readFromClasspath("/eu/dnetlib/pace/config/organization.current.conf", ComparatorTest.class));
}
@Test
@ -33,26 +33,6 @@ public class DistanceAlgoTest extends AbstractPaceFunctions {
System.out.println("utils = " + utils.cleanupForOrdering("University of Pisa"));
}
@Test
public void testGetNumbers() {
System.out.println("Numbers : " + getNumbers(TEST_STRING));
}
@Test
public void testRemoveSymbols() {
System.out.println("Without symbols: " + removeSymbols(TEST_STRING));
}
@Test
public void testFixAliases() {
System.out.println("Fixed aliases : " + fixAliases(TEST_STRING));
}
@Test
public void testCleanup() {
System.out.println("cleaned up : " + cleanup(TEST_STRING));
}
@Test
public void testJaroWinklerNormalizedName() {
final JaroWinklerNormalizedName jaroWinklerNormalizedName = new JaroWinklerNormalizedName(params);

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@ -3,6 +3,8 @@ package eu.dnetlib.pace.config;
import eu.dnetlib.pace.AbstractPaceTest;
import org.junit.Test;
import java.util.Map;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertNotNull;
import static org.junit.Assert.assertTrue;
@ -11,15 +13,10 @@ public class ConfigTest extends AbstractPaceTest {
@Test
public void dedupConfigSerializationTest() {
final DedupConfig cfgFromClasspath = DedupConfig.load(readFromClasspath("org.curr.conf"));
final DedupConfig cfgFromClasspath = DedupConfig.load(readFromClasspath("organization.current.conf"));
final String conf = cfgFromClasspath.toString();
// System.out.println("*****SERIALIZED*****");
// System.out.println(conf);
// System.out.println("*****FROM CLASSPATH*****");
// System.out.println(readFromClasspath("result.pace.conf.json"));
final DedupConfig cfgFromSerialization = DedupConfig.load(conf);
assertEquals(cfgFromClasspath.toString(), cfgFromSerialization.toString());
@ -27,29 +24,36 @@ public class ConfigTest extends AbstractPaceTest {
assertNotNull(cfgFromClasspath);
assertNotNull(cfgFromSerialization);
}
@Test
public void dedupConfigTest() {
DedupConfig load = DedupConfig.load(readFromClasspath("org.curr.conf"));
DedupConfig load = DedupConfig.load(readFromClasspath("organization.current.conf"));
System.out.println(load.toString());
}
@Test
public void translationMapTest() {
public void initTranslationMapTest() {
DedupConfig load = DedupConfig.load(readFromClasspath("org.curr.conf"));
DedupConfig load = DedupConfig.load(readFromClasspath("organization.current.conf"));
Map<String, String> translationMap = load.translationMap();
System.out.println("translationMap = " + translationMap.size());
for (String key: translationMap.keySet()) {
if (translationMap.get(key).equals("key::1"))
System.out.println("key = " + key);
}
System.out.println("translationMap = " + load.getPace().translationMap().toString());
}
@Test
public void emptyTranslationMapTest() {
DedupConfig load = DedupConfig.load(readFromClasspath("org.test.conf"));
DedupConfig load = DedupConfig.load(readFromClasspath("organization.no_synonyms.conf"));
assertEquals(0, load.getPace().translationMap().keySet().size());
}

View File

@ -1,40 +0,0 @@
{
"wf" : {
"threshold" : "0.9",
"dedupRun" : "001",
"entityType" : "organization",
"orderField" : "legalname",
"queueMaxSize" : "2000",
"groupMaxSize" : "50",
"slidingWindowSize" : "200",
"rootBuilder" : [ "organization", "projectOrganization_participation_isParticipant", "datasourceOrganization_provision_isProvidedBy" ],
"includeChildren" : "true"
},
"pace" : {
"clustering" : [
{ "name" : "sortedngrampairs", "fields" : [ "legalname" ], "params" : { "max" : 2, "ngramLen" : "3"} },
{ "name" : "suffixprefix", "fields" : [ "legalname" ], "params" : { "max" : 1, "len" : "3" } },
{ "name" : "urlclustering", "fields" : [ "websiteurl" ], "params" : { } },
{ "name" : "keywordsclustering", "fields" : [ "legalname" ], "params" : { "max": 2, "windowSize": 4} }
],
"strictConditions" : [
{ "name" : "exactMatch", "fields" : [ "gridid" ] }
],
"conditions" : [
{ "name" : "DomainExactMatch", "fields" : [ "websiteurl" ] },
{ "name" : "exactMatch", "fields" : [ "country" ] }
],
"model" : [
{ "name" : "country", "algo" : "Null", "type" : "String", "weight" : "0", "ignoreMissing" : "false", "path" : "organization/metadata/country/classid" },
{ "name" : "legalshortname", "algo" : "JaroWinklerNormalizedName", "type" : "String", "weight" : "0.1", "ignoreMissing" : "true", "path" : "organization/metadata/legalshortname/value" },
{ "name" : "legalname", "algo" : "JaroWinklerNormalizedName", "type" : "String", "weight" : "0.9", "ignoreMissing" : "false", "path" : "organization/metadata/legalname/value", "params" : {"windowSize" : 4, "threshold" : 0.7} },
{ "name" : "websiteurl", "algo" : "Null", "type" : "URL", "weight" : "0", "ignoreMissing" : "true", "path" : "organization/metadata/websiteurl/value", "params" : { "host" : 0.5, "path" : 0.5 } },
{ "name" : "gridid", "algo" : "Null", "type" : "String", "weight" : "0.0", "ignoreMissing" : "true", "path" : "pid[qualifier#classid = {grid}]/value" }
],
"blacklists" : {
"legalname" : []
},
"synonyms": {
}
}
}

View File

@ -12,42 +12,28 @@
},
"pace" : {
"clustering" : [
<<<<<<< HEAD
{ "name" : "sortedngrampairs", "fieldsCount" : [ "legalname" ], "params" : { "max" : 2, "ngramLen" : "3"} },
{ "name" : "suffixprefix", "fieldsCount" : [ "legalname" ], "params" : { "max" : 1, "len" : "3" } },
{ "name" : "urlclustering", "fieldsCount" : [ "websiteurl" ], "params" : { } }
=======
{ "name" : "sortedngrampairs", "fields" : [ "legalname" ], "params" : { "max" : 2, "ngramLen" : "3"} },
{ "name" : "suffixprefix", "fields" : [ "legalname" ], "params" : { "max" : 1, "len" : "3" } },
{ "name" : "urlclustering", "fields" : [ "websiteurl" ], "params" : { } },
{ "name" : "keywordsclustering", "fields" : [ "legalname" ], "params" : { "max": 2, "windowSize": 4} }
>>>>>>> origin/master
],
"sufficientConditions" : [
{ "name" : "exactMatch", "fieldsCount" : [ "gridid" ] }
],
<<<<<<< HEAD
"necessaryConditions" : [
{ "name" : "exactMatch", "fieldsCount" : [ "country" ] },
{ "name" : "DomainExactMatch", "fieldsCount" : [ "websiteurl" ] }
=======
"conditions" : [
{ "name" : "DomainExactMatch", "fields" : [ "websiteurl" ] },
{ "name" : "exactMatch", "fields" : [ "country" ] }
>>>>>>> origin/master
],
"decisionTree" : {
"start": {"fields": [{"field":"gridid", "comparator":"exactMatch", "weight":1.0, "countIfUndefined":"true", "params": {}}], "threshold":1.0, "aggregation": "MAX", "positive":"MATCH", "negative":"layer2", "undefined":"layer2", "ignoreUndefined": "true"},
"layer2": {"fields": [{"field":"websiteurl", "comparator":"domainExactMatch", "weight":1.0, "countIfUndefined":"true", "params" : {}}, {"field":"country", "comparator":"exactMatch", "weight":1.0, "countIfUndefined":"false", "params": {}}], "threshold":1.0, "aggregation": "MIN", "positive":"layer3", "negative":"NO_MATCH", "undefined":"layer3", "ignoreUndefined": "false"},
"layer3": {"fields": [{"field":"legalname", "comparator":"jaroWinklerNormalizedName", "weight":0.9, "countIfUndefined":"false", "params":{"windowSize" : 4, "threshold" : 0.7}}, {"field":"legalshortname", "comparator":"jaroWinklerNormalizedName", "weight":0.1, "countIfUndefined":"true", "params":{}}], "threshold": 0.9, "aggregation": "W_MEAN", "positive":"MATCH", "negative":"NO_MATCH", "undefined":"NO_MATCH", "ignoreUndefined": "true"}
},
"model" : [
{ "name" : "country", "algo" : "Null", "type" : "String", "weight" : "0", "ignoreMissing" : "false", "path" : "organization/metadata/country/classid" },
{ "name" : "legalshortname", "algo" : "JaroWinklerNormalizedName", "type" : "String", "weight" : "0.1", "ignoreMissing" : "true", "path" : "organization/metadata/legalshortname/value" },
{ "name" : "legalname", "algo" : "JaroWinklerNormalizedName", "type" : "String", "weight" : "0.9", "ignoreMissing" : "false", "path" : "organization/metadata/legalname/value", "params" : {"windowSize" : 4, "threshold" : 0.7} },
{ "name" : "websiteurl", "algo" : "Null", "type" : "URL", "weight" : "0", "ignoreMissing" : "true", "path" : "organization/metadata/websiteurl/value", "params" : { "host" : 0.5, "path" : 0.5 } },
{ "name" : "gridid", "algo" : "Null", "type" : "String", "weight" : "0.0", "ignoreMissing" : "true", "path" : "pid[qualifier#classid = {grid}]/value" }
{ "name" : "country", "type" : "String", "path" : "organization/metadata/country/classid"},
{ "name" : "legalshortname", "type" : "String", "path" : "organization/metadata/legalshortname/value"},
{ "name" : "legalname", "type" : "String", "path" : "organization/metadata/legalname/value" },
{ "name" : "websiteurl", "type" : "URL", "path" : "organization/metadata/websiteurl/value" },
{ "name" : "gridid", "type" : "String", "path" : "pid[qualifier#classid = {grid}]/value"}
],
"blacklists" : {
"legalname" : []
},
"synonyms": {
"key::1": ["university","università","universita","università studi","universita studi","universitario","universitaria","université","universitaire","universitaires","universidad","universitade","Universität","universitaet","Uniwersytet","университет","universiteit","πανεπιστήμιο","universitesi","universiteti"],
"key::1": ["university","università","università studi","universitario","universitaria","université","universitaire","universitaires","universidad","universitade","Universität","universitaet","Uniwersytet","университет","universiteit","πανεπιστήμιο","universitesi","universiteti"],
"key::2": ["studies","studi","études","estudios","estudos","Studien","studia","исследования","studies","σπουδές"],
"key::3": ["advanced","superiore","supérieur","supérieure","supérieurs","supérieures","avancado","avancados","fortgeschrittene","fortgeschritten","zaawansowany","передовой","gevorderd","gevorderde","προχωρημένος","προχωρημένη","προχωρημένο","προχωρημένες","προχωρημένα","wyzsza"],
"key::4": ["institute","istituto","institut","instituto","instituto","Institut","instytut","институт","instituut","ινστιτούτο"],
@ -97,58 +83,58 @@
"key::48": ["promotion","promozione","продвижение","proothisis","forderung"],
"key::49": ["medical","medicine","clinical","medicina","clinici","médico","medicina","clínica","médico","medicina","clínica","medizinisch","Medizin","klinisch","medisch","geneeskunde","klinisch","ιατρικός","ιατρική","ιατρικό","ιατρικά","κλινικός","κλινική","κλινικό","κλινικά","tıbbi","tıp","klinik","orvosi","orvostudomány","klinikai","zdravniški","medicinski","klinični","meditsiini","kliinik","kliiniline"],
"key::50": ["technology","technological","tecnologia","tecnologie","tecnología","tecnológico","tecnologia","tecnológico","Technologie","technologisch","technologie","technologisch","τεχνολογία","τεχνολογικός","τεχνολογική","τεχνολογικό","teknoloji","teknolojik","technológia","technológiai","tehnologija","tehnološki","tehnoloogia","tehnoloogiline","technologii","technical","texniki","teknik"],
"key::51": ["science","scientific","scienza","scientifiche","scienze","ciencia","científico","ciência","científico","Wissenschaft","wissenschaftlich","wetenschap","wetenschappelijk","επιστήμη","επιστημονικός","επιστημονική","επιστημονικό","επιστημονικά","bilim","bilimsel","tudomány","tudományos","znanost","znanstveni","teadus","teaduslik"],
"key::52": ["engineering","ingegneria","ingeniería","engenharia","Ingenieurwissenschaft","ingenieurswetenschappen","bouwkunde","μηχανικός","μηχανική","μηχανικό","mühendislik","mérnöki","Inženirstvo","inseneeria","inseneri"],
"key::53": ["management","gestione","gestionale","gestionali","gestión","administración","gestão","administração","Verwaltung","management","διαχείριση","yönetim","menedzsment","vodstvo","upravljanje","management","juhtkond","juhtimine","haldus"],
"key::54": ["energy","energia","energía","energia","Energie","energie","ενέργεια","enerji","energia","energija","energia"],
"key::55": ["agricultural","agriculture","agricoltura","agricole","agrícola","agricultura","agrícola","agricultura","landwirtschaftlich","Landwirtschaft","landbouwkundig","landbouw","αγροτικός","αγροτική","αγροτικό","γεωργικός","γεωργική","γεωργικό","γεωργία","tarımsal","tarım","mezőgazdasági","mezőgazdaság","poljedelski","poljedelstvo","põllumajandus","põllumajanduslik"],
"key::56": ["information","informazione","información","informação","Information","informatie","πληροφορία","bilgi","információ","informacija","informatsioon","informatycznych"],
"key::57": ["social","sociali","social","social","Sozial","sociaal","maatschappelijk","κοινωνικός","κοινωνική","κοινωνικό","κοινωνικά","sosyal","szociális","družbeni","sotsiaal","sotsiaalne"],
"key::58": ["environmental","ambiente","medioambiental","ambiente","medioambiente","meioambiente","Umwelt","milieu","milieuwetenschap","milieukunde","περιβαλλοντικός","περιβαλλοντική","περιβαλλοντικό","περιβαλλοντικά","çevre","környezeti","okoliški","keskonna"],
"key::59": ["business","economia","economiche","economica","negocio","empresa","negócio","Unternehmen","bedrijf","bedrijfskunde","επιχείρηση","iş","üzleti","posel","ettevõte/äri"],
"key::60": ["pharmaceuticals","pharmacy","farmacia","farmaceutica","farmacéutica","farmacia","farmacêutica","farmácia","Pharmazeutika","Arzneimittelkunde","farmaceutica","geneesmiddelen","apotheek","φαρμακευτικός","φαρμακευτική","φαρμακευτικό","φαρμακευτικά","φαρμακείο","ilaç","eczane","gyógyszerészeti","gyógyszertár","farmacevtika","lekarništvo","farmaatsia","farmatseutiline"],
"key::61": ["healthcare","health services","salute","atenciónmédica","cuidadodelasalud","cuidadoscomasaúde","Gesundheitswesen","gezondheidszorg","ιατροφαρμακευτικήπερίθαλψη","sağlıkhizmeti","egészségügy","zdravstvo","tervishoid","tervishoiu"],
"key::62": ["history","storia","historia","história","Geschichte","geschiedenis","geschiedkunde","ιστορία","tarih","történelem","zgodovina","ajalugu"],
"key::63": ["materials","materiali","materia","materiales","materiais","materialen","υλικά","τεκμήρια","malzemeler","anyagok","materiali","materjalid","vahendid"],
"key::64": ["economics","economia","economiche","economica","economía","economia","Wirtschaft","economie","οικονομικά","οικονομικέςεπιστήμες","ekonomi","közgazdaságtan","gospodarstvo","ekonomija","majanduslik","majandus"],
"key::65": ["therapeutics","terapeutica","terapéutica","terapêutica","therapie","θεραπευτική","tedavibilimi","gyógykezelés","terapevtika","terapeutiline","ravi"],
"key::66": ["oncology","oncologia","oncologico","oncología","oncologia","Onkologie","oncologie","ογκολογία","onkoloji","onkológia","onkologija","onkoloogia"],
"key::67": ["natural","naturali","naturale","natural","natural","natürlich","natuurlijk","φυσικός","φυσική","φυσικό","φυσικά","doğal","természetes","naraven","loodus"],
"key::68": ["educational","educazione","pedagogia","educacional","educativo","educacional","pädagogisch","educatief","εκπαιδευτικός","εκπαιδευτική","εκπαιδευτικό","εκπαιδευτικά","eğitimsel","oktatási","izobraževalen","haridus","hariduslik"],
"key::69": ["biomedical","biomedica","biomédico","biomédico","biomedizinisch","biomedisch","βιοιατρικός","βιοιατρική","βιοιατρικό","βιοιατρικά","biyomedikal","orvosbiológiai","biomedicinski","biomeditsiiniline"],
"key::70": ["veterinary","veterinaria","veterinarie","veterinaria","veterinária","tierärtzlich","veterinair","veeartsenijlkunde","κτηνιατρικός","κτηνιατρική","κτηνιατρικό","κτηνιατρικά","veteriner","állatorvosi","veterinar","veterinarski","veterinaaria"],
"key::71": ["chemistry","chimica","química","química","Chemie","chemie","scheikunde","χημεία","kimya","kémia","kemija","keemia"],
"key::72": ["security","sicurezza","seguridad","segurança","Sicherheit","veiligheid","ασφάλεια","güvenlik","biztonsági","varnost","turvalisus","julgeolek"],
"key::73": ["biotechnology","biotecnologia","biotecnologie","biotecnología","biotecnologia","Biotechnologie","biotechnologie","βιοτεχνολογία","biyoteknoloji","biotechnológia","biotehnologija","biotehnoloogia"],
"key::74": ["military","militare","militari","militar","militar","Militär","militair","leger","στρατιωτικός","στρατιωτική","στρατιωτικό","στρατιωτικά","askeri","katonai","vojaški","vojni","militaar","wojskowa"],
"key::75": ["theological","teologia","teologico","teológico","tecnológica","theologisch","theologisch","θεολογικός","θεολογική","θεολογικό","θεολογικά","teolojik","technológiai","teološki","teoloogia","usuteadus","teoloogiline"],
"key::76": ["electronics","elettronica","electrónica","eletrônicos","Elektronik","elektronica","ηλεκτρονική","elektronik","elektronika","elektronika","elektroonika"],
"key::77": ["forestry","forestale","forestali","silvicultura","forestal","floresta","Forstwirtschaft","bosbouw","δασοκομία","δασολογία","ormancılık","erdészet","gozdarstvo","metsandus"],
"key::78": ["maritime","marittima","marittime","marittimo","marítimo","marítimo","maritiem","ναυτικός","ναυτική","ναυτικό","ναυτικά","ναυτιλιακός","ναυτιλιακή","ναυτιλιακό","ναυτιλιακά","θαλάσσιος","θαλάσσια","θαλάσσιο","denizcilik","tengeri","morski","mere","merendus"],
"key::79": ["sports","sport","deportes","esportes","Sport","sport","sportwetenschappen","άθληση","γυμναστικήδραστηριότητα","spor","sport","šport","sport","spordi"],
"key::80": ["surgery","chirurgia","chirurgiche","cirugía","cirurgia","Chirurgie","chirurgie","heelkunde","εγχείρηση","επέμβαση","χειρουργικήεπέμβαση","cerrahi","sebészet","kirurgija","kirurgia"],
"key::81": ["cultural","culturale","culturali","cultura","cultural","cultural","kulturell","cultureel","πολιτιστικός","πολιτιστική","πολιτιστικό","πολιτισμικός","πολιτισμική","πολιτισμικό","kültürel","kultúrális","kulturni","kultuuri","kultuuriline"],
"key::82": ["computerscience","informatica","ordenador","computadora","informática","computación","cienciasdelacomputación","ciênciadacomputação","Computer","computer","υπολογιστής","ηλεκτρονικόςυπολογιστής","bilgisayar","számítógép","računalnik","arvuti"],
"key::83": ["finance","financial","finanza","finanziarie","finanza","financiero","finanças","financeiro","Finanzen","finanziell","financiën","financieel","χρηματοοικονομικά","χρηματοδότηση","finanse","finansal","pénzügy","pénzügyi","finance","finančni","finants","finantsiline"],
"key::84": ["communication","comunicazione","comuniciación","comunicação","Kommunikation","communication","επικοινωνία","iletişim","kommunikáció","komuniciranje","kommunikatsioon"],
"key::85": ["justice","giustizia","justicia","justiça","Recht","Justiz","justitie","gerechtigheid","δικαιοσύνη","υπουργείοδικαιοσύνης","δίκαιο","adalet","igazságügy","pravo","õigus"],
"key::86": ["aerospace","aerospaziale","aerospaziali","aeroespacio","aeroespaço","Luftfahrt","luchtvaart","ruimtevaart","αεροπορικός","αεροπορική","αεροπορικό","αεροναυπηγικός","αεροναυπηγική","αεροναυπηγικό","αεροναυπηγικά","havacılıkveuzay","légtér","zrakoplovstvo","atmosfäär","kosmos"],
"key::87": ["dermatology","dermatologia","dermatología","dermatologia","Dermatologie","dermatologie","δρματολογία","dermatoloji","bőrgyógyászat","dermatológia","dermatologija","dermatoloogia"],
"key::88": ["architecture","architettura","arquitectura","arquitetura","Architektur","architectuur","αρχιτεκτονική","mimarlık","építészet","arhitektura","arhitektuur"],
"key::89": ["mathematics","matematica","matematiche","matemáticas","matemáticas","Mathematik","wiskunde","mathematica","μαθηματικά","matematik","matematika","matematika","matemaatika"],
"key::90": ["language","lingue","linguistica","linguistiche","lenguaje","idioma","língua","idioma","Sprache","taal","taalkunde","γλώσσα","dil","nyelv","jezik","keel"],
"key::91": ["neuroscience","neuroscienza","neurociencia","neurociência","Neurowissenschaft","neurowetenschappen","νευροεπιστήμη","nörobilim","idegtudomány","nevroznanost","neuroteadused"],
"key::92": ["automation","automazione","automatización","automação","Automatisierung","automatisering","αυτοματοποίηση","otomasyon","automatizálás","avtomatizacija","automatiseeritud"],
"key::93": ["pediatric","pediatria","pediatriche","pediatrico","pediátrico","pediatría","pediátrico","pediatria","pädiatrisch","pediatrische","παιδιατρική","pediatrik","gyermekgyógyászat","pediatrija","pediaatria"],
"key::94": ["photonics","fotonica","fotoniche","fotónica","fotônica","Photonik","fotonica","φωτονική","fotonik","fotonika","fotonika","fotoonika"],
"key::95": ["mechanics","meccanica","meccaniche","mecánica","mecânica","Mechanik","Maschinenbau","mechanica","werktuigkunde","μηχανικής","mekanik","gépészet","mehanika","mehaanika"],
"key::96": ["psychiatrics","psichiatria","psichiatrica","psichiatriche","psiquiatría","psiquiatria","Psychiatrie","psychiatrie","ψυχιατρική","psikiyatrik","pszihiátria","psihiatrija","psühhaatria"],
"key::97": ["psychology","fisiologia","psicología","psicologia","Psychologie","psychologie","ψυχολογία","psikoloji","pszihológia","psihologija","psühholoogia"],
"key::98": ["automotive","industriaautomobilistica","industriadelautomóvil","automotriz","industriaautomotriz","automotivo","Automobilindustrie","autoindustrie","αυτοκίνητος","αυτοκίνητη","αυτοκίνητο","αυτοκινούμενος","αυτοκινούμενη","αυτοκινούμενο","αυτοκινητιστικός","αυτοκινητιστική","αυτοκινητιστικό","otomotiv","autóipari","samogiben","avtomobilskaindustrija","auto-"],
"key::99": ["neurology","neurologia","neurologiche","neurología","neurologia","Neurologie","neurologie","zenuwleer","νευρολογία","nöroloji","neurológia","ideggyógyászat","nevrologija","neuroloogia"],
"key::100": ["geology","geologia","geologiche","geología","geologia","Geologie","geologie","aardkunde","γεωλογία","jeoloji","geológia","földtudomány","geologija","geoloogia"],
"key::101": ["microbiology","microbiologia","micro-biologia","microbiologiche","microbiología","microbiologia","Mikrobiologie","microbiologie","μικροβιολογία","mikrobiyoloji","mikrobiológia","mikrobiologija","mikrobioloogia"],
"key::102": ["informatics","informatica","informática","informática","informatica"],
"key::51": ["science","scientific","scienza","scientifiche","scienze","ciencia","científico","ciência","científico","Wissenschaft","wissenschaftlich","wetenschap","wetenschappelijk","επιστήμη","επιστημονικός","επιστημονική","επιστημονικό","επιστημονικά","bilim","bilimsel","tudomány","tudományos","znanost","znanstveni","teadus","teaduslik",""],
"key::52": ["engineering","ingegneria","ingeniería","engenharia","Ingenieurwissenschaft","ingenieurswetenschappen","bouwkunde","μηχανικός","μηχανική","μηχανικό","mühendislik","mérnöki","Inženirstvo","inseneeria","inseneri",""],
"key::53": ["management","gestione","gestionale","gestionali","gestión","administración","gestão","administração","Verwaltung","management","διαχείριση","yönetim","menedzsment","vodstvo","upravljanje","management","juhtkond","juhtimine","haldus",""],
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