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[cleaning] subjects declared as belonging to specific vocabularies whose values are not found in the vocab are set to type keyword

This commit is contained in:
Claudio Atzori 2022-10-13 11:23:43 +02:00
parent 6163ecbf63
commit b47aaf4dd1
5 changed files with 54 additions and 19 deletions

View File

@ -211,7 +211,7 @@ public class GraphCleaningFunctions extends CleaningFunctions {
.orElse(s.getValue()), .orElse(s.getValue()),
Function.identity(), Function.identity(),
(s1, s2) -> Collections (s1, s2) -> Collections
.min(Lists.newArrayList(s1, s1), new SubjectProvenanceComparator()))) .min(Lists.newArrayList(s1, s2), new SubjectProvenanceComparator())))
.values()); .values());
r.setSubject(subjects); r.setSubject(subjects);
} }

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@ -3,6 +3,7 @@ package eu.dnetlib.dhp.oa.graph.clean;
import java.io.Serializable; import java.io.Serializable;
import java.util.HashMap; import java.util.HashMap;
import java.util.Objects;
import java.util.concurrent.atomic.AtomicReference; import java.util.concurrent.atomic.AtomicReference;
import org.apache.commons.lang3.SerializationUtils; import org.apache.commons.lang3.SerializationUtils;
@ -10,6 +11,7 @@ import org.apache.commons.lang3.StringUtils;
import eu.dnetlib.dhp.common.FunctionalInterfaceSupport.SerializableConsumer; import eu.dnetlib.dhp.common.FunctionalInterfaceSupport.SerializableConsumer;
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup; import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
import eu.dnetlib.dhp.common.vocabulary.VocabularyTerm;
import eu.dnetlib.dhp.schema.common.ModelConstants; import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.*; import eu.dnetlib.dhp.schema.oaf.*;
@ -31,29 +33,30 @@ public class CleaningRuleMap extends HashMap<Class<?>, SerializableConsumer<Obje
} }
private static void cleanSubject(VocabularyGroup vocabularies, Subject subject) { private static void cleanSubject(VocabularyGroup vocabularies, Subject subject) {
if (cleanSubjectForVocabulary(ModelConstants.DNET_SUBJECT_FOS_CLASSID, vocabularies, subject)) { cleanSubjectForVocabulary(ModelConstants.DNET_SUBJECT_FOS_CLASSID, vocabularies, subject);
return;
} else {
// TODO cleaning based on different subject vocabs can be added here // TODO cleaning based on different subject vocabs can be added here
} }
}
private static boolean cleanSubjectForVocabulary(String vocabularyId, VocabularyGroup vocabularies, private static void cleanSubjectForVocabulary(String vocabularyId, VocabularyGroup vocabularies,
Subject subject) { Subject subject) {
AtomicReference<Boolean> modified = new AtomicReference<>(false);
vocabularies.find(vocabularyId).ifPresent(vocabulary -> { vocabularies.find(vocabularyId).ifPresent(vocabulary -> {
if (!ModelConstants.DNET_SUBJECT_KEYWORD.equalsIgnoreCase(subject.getQualifier().getClassid())) { if (ModelConstants.DNET_SUBJECT_KEYWORD.equalsIgnoreCase(subject.getQualifier().getClassid())) {
return;
}
Qualifier newValue = vocabulary.lookup(subject.getValue()); Qualifier newValue = vocabulary.lookup(subject.getValue());
if (!ModelConstants.UNKNOWN.equals(newValue.getClassid())) { if (!ModelConstants.UNKNOWN.equals(newValue.getClassid())) {
subject.setValue(newValue.getClassid()); subject.setValue(newValue.getClassid());
subject.getQualifier().setClassid(vocabularyId); subject.getQualifier().setClassid(vocabularyId);
subject.getQualifier().setClassname(vocabulary.getName()); subject.getQualifier().setClassname(vocabulary.getName());
modified.set(true); }
} else if (vocabularyId.equals(subject.getQualifier().getClassid())) {
Qualifier syn = vocabulary.getSynonymAsQualifier(subject.getValue());
VocabularyTerm term = vocabulary.getTerm(subject.getValue());
if (Objects.isNull(syn) && Objects.isNull(term)) {
subject.getQualifier().setClassid(ModelConstants.DNET_SUBJECT_KEYWORD);
subject.getQualifier().setClassname(ModelConstants.DNET_SUBJECT_KEYWORD);
}
} }
}); });
return modified.get();
} }
private static void cleanRelation(VocabularyGroup vocabularies, Relation r) { private static void cleanRelation(VocabularyGroup vocabularies, Relation r) {

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@ -43,7 +43,7 @@ public class CleanCountrySparkJob implements Serializable {
String jsonConfiguration = IOUtils String jsonConfiguration = IOUtils
.toString( .toString(
CleanContextSparkJob.class CleanCountrySparkJob.class
.getResourceAsStream( .getResourceAsStream(
"/eu/dnetlib/dhp/oa/graph/input_clean_country_parameters.json")); "/eu/dnetlib/dhp/oa/graph/input_clean_country_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration); final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);

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@ -278,6 +278,16 @@ public class GraphCleaningFunctionsTest {
s -> "0102 computer and information sciences".equals(s.getValue()) & s -> "0102 computer and information sciences".equals(s.getValue()) &
ModelConstants.DNET_SUBJECT_FOS_CLASSID.equals(s.getQualifier().getClassid()))); ModelConstants.DNET_SUBJECT_FOS_CLASSID.equals(s.getQualifier().getClassid())));
List<Subject> s1 = p_cleaned
.getSubject()
.stream()
.filter(s -> s.getValue().equals("In Situ Hybridization"))
.collect(Collectors.toList());
assertNotNull(s1);
assertEquals(1, s1.size());
assertEquals(ModelConstants.DNET_SUBJECT_KEYWORD, s1.get(0).getQualifier().getClassid());
assertEquals(ModelConstants.DNET_SUBJECT_KEYWORD, s1.get(0).getQualifier().getClassname());
// TODO add more assertions to verity the cleaned values // TODO add more assertions to verity the cleaned values
System.out.println(MAPPER.writeValueAsString(p_cleaned)); System.out.println(MAPPER.writeValueAsString(p_cleaned));
} }

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@ -706,6 +706,28 @@
"source": [ "source": [
], ],
"subject": [ "subject": [
{
"dataInfo": {
"provenanceaction": {
"classid": "sysimport:crosswalk:repository",
"classname": "sysimport:crosswalk:repository",
"schemeid": "dnet:provenanceActions",
"schemename": "dnet:provenanceActions"
},
"deletedbyinference": false,
"inferred": false,
"inferenceprovenance": "",
"invisible": false,
"trust": "0.9"
},
"qualifier": {
"classid": "FOS",
"classname": "Fields of Science and Technology classification",
"schemeid": "dnet:result_subject",
"schemename": "dnet:result_subject"
},
"value": "In Situ Hybridization"
},
{ {
"dataInfo": { "dataInfo": {
"deletedbyinference": false, "deletedbyinference": false,