forked from D-Net/dnet-hadoop
WIP: cleaning of subjects
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@ -85,8 +85,8 @@ public class Vocabulary implements Serializable {
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public Qualifier lookup(String id) {
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return Optional
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.ofNullable(getSynonymAsQualifier(id))
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.orElse(getTermAsQualifier(id));
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.ofNullable(getSynonymAsQualifier(id))
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.orElse(getTermAsQualifier(id));
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}
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}
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@ -83,9 +83,9 @@ public class VocabularyGroup implements Serializable {
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public Optional<Vocabulary> find(final String vocId) {
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return Optional
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.ofNullable(vocId)
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.map(String::toLowerCase)
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.map(vocs::get);
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.ofNullable(vocId)
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.map(String::toLowerCase)
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.map(vocs::get);
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}
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public void addTerm(final String vocId, final String id, final String name) {
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@ -4,15 +4,15 @@ package eu.dnetlib.dhp.oa.graph.clean;
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import java.io.Serializable;
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import java.util.HashMap;
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import eu.dnetlib.dhp.common.vocabulary.Vocabulary;
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import eu.dnetlib.dhp.schema.oaf.*;
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import javax.jws.WebParam;
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import org.apache.commons.lang3.StringUtils;
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import eu.dnetlib.dhp.common.FunctionalInterfaceSupport.SerializableConsumer;
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import eu.dnetlib.dhp.common.vocabulary.Vocabulary;
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import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import javax.jws.WebParam;
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import eu.dnetlib.dhp.schema.oaf.*;
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public class CleaningRuleMap extends HashMap<Class<?>, SerializableConsumer<Object>> implements Serializable {
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@ -251,6 +251,17 @@ public class GraphCleaningFunctionsTest {
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pid.getQualifier().getClassname()));
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});
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assertNotNull(p_cleaned.getSubject());
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List<Subject> fos_subjects = p_cleaned
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.getSubject()
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.stream()
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.filter(s -> ModelConstants.DNET_SUBJECT_FOS_CLASSID.equals(s.getQualifier().getClassid()))
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.collect(Collectors.toList());
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assertNotNull(fos_subjects);
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assertEquals(2, fos_subjects.size());
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// TODO add more assertions to verity the cleaned values
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System.out.println(MAPPER.writeValueAsString(p_cleaned));
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}
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@ -743,12 +743,12 @@
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"trust": "0.9"
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},
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"qualifier": {
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"classid": "",
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"classname": "",
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"schemeid": "",
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"schemename": ""
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"classid": "keyword",
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"classname": "keyword",
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"schemeid": "dnet:subject_classification_typologies",
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"schemename": "dnet:subject_classification_typologies"
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},
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"value": "infrared detectors"
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"value": "FOS: Mathematics"
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},
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{
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"dataInfo": {
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@ -765,12 +765,12 @@
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"trust": "0.9"
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},
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"qualifier": {
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"classid": "",
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"classname": "",
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"schemeid": "",
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"schemename": ""
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"classid": "keyword",
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"classname": "keyword",
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"schemeid": "dnet:subject_classification_typologies",
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"schemename": "dnet:subject_classification_typologies"
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},
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"value": "lens antennas"
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"value": "FOS: Computer and information sciences"
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},
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{
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"dataInfo": {
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@ -1243,4 +1243,6 @@ dnet:relation_relClass @=@ IsSupplementTo @=@ isSupplementTo
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dnet:relation_relClass @=@ IsSupplementedBy @=@ isSupplementedBy
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dnet:relation_relClass @=@ IsRelatedTo @=@ isRelatedTo
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dnet:relation_subRelType @=@ relationship @=@ publicationDataset
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dnet:provenanceActions @=@ iis @=@ erroneous label to be cleaned
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dnet:provenanceActions @=@ iis @=@ erroneous label to be cleaned
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FOS @=@ 0101 mathematics @=@ FOS: Mathematics
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FOS @=@ 0102 computer and information sciences @=@ FOS: Computer and information sciences
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@ -1117,4 +1117,7 @@ dnet:relation_subRelType @=@ dnet:relation_subRelType @=@ relationship @=@ relat
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dnet:relation_subRelType @=@ dnet:relation_subRelType @=@ review @=@ review
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dnet:relation_subRelType @=@ dnet:relation_subRelType @=@ similarity @=@ similarity
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dnet:relation_subRelType @=@ dnet:relation_subRelType @=@ supplement @=@ supplement
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dnet:relation_subRelType @=@ dnet:relation_subRelType @=@ version @=@ version
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dnet:relation_subRelType @=@ dnet:relation_subRelType @=@ version @=@ version
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FOS @=@ Fields of Science and Technology classification @=@ 0101 mathematics @=@ 0101 mathematics
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FOS @=@ Fields of Science and Technology classification @=@ 0102 computer and information sciences @=@ 0102 computer and information sciences
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FOS @=@ Fields of Science and Technology classification @=@ 0103 physical sciences @=@ 0103 physical sciences
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