[cleaning] improved vocabulary based mapping, specialization for the strict vocab cleaning
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@ -4,6 +4,7 @@ package eu.dnetlib.dhp.common.vocabulary;
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import java.io.Serializable;
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import java.util.HashMap;
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import java.util.Map;
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import java.util.Objects;
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import java.util.Optional;
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import org.apache.commons.lang3.StringUtils;
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@ -66,27 +67,39 @@ public class Vocabulary implements Serializable {
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}
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public Qualifier getTermAsQualifier(final String termId) {
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if (StringUtils.isBlank(termId)) {
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return getTermAsQualifier(termId, false);
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}
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public Qualifier getTermAsQualifier(final String termId, boolean strict) {
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final VocabularyTerm term = getTerm(termId);
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if (Objects.nonNull(term)) {
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return OafMapperUtils.qualifier(term.getId(), term.getName(), getId(), getName());
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} else if (Objects.isNull(term) && strict) {
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return OafMapperUtils.unknown(getId(), getName());
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} else if (termExists(termId)) {
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final VocabularyTerm t = getTerm(termId);
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return OafMapperUtils.qualifier(t.getId(), t.getName(), getId(), getName());
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} else {
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return OafMapperUtils.qualifier(termId, termId, getId(), getName());
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}
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}
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public Qualifier getSynonymAsQualifier(final String syn) {
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return getSynonymAsQualifier(syn, false);
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}
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public Qualifier getSynonymAsQualifier(final String syn, boolean strict) {
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return Optional
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.ofNullable(getTermBySynonym(syn))
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.map(term -> getTermAsQualifier(term.getId()))
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.map(term -> getTermAsQualifier(term.getId(), strict))
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.orElse(null);
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}
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public Qualifier lookup(String id) {
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return lookup(id, false);
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}
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public Qualifier lookup(String id, boolean strict) {
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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, strict))
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.orElse(getTermAsQualifier(id, strict));
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}
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}
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@ -333,7 +333,7 @@ public class GraphCleaningFunctions extends CleaningFunctions {
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if (Objects.isNull(i.getHostedby()) || StringUtils.isBlank(i.getHostedby().getKey())) {
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i.setHostedby(ModelConstants.UNKNOWN_REPOSITORY);
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}
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if (Objects.isNull(i.getRefereed())) {
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if (Objects.isNull(i.getRefereed()) || StringUtils.isBlank(i.getRefereed().getClassid())) {
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i.setRefereed(qualifier("0000", "Unknown", ModelConstants.DNET_REVIEW_LEVELS));
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}
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if (Objects.nonNull(i.getDateofacceptance())) {
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@ -42,7 +42,7 @@ public class CleaningRuleMap extends HashMap<Class<?>, SerializableConsumer<Obje
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vocabularies.find(vocabularyId).ifPresent(vocabulary -> {
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if (ModelConstants.DNET_SUBJECT_KEYWORD.equalsIgnoreCase(subject.getQualifier().getClassid())) {
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Qualifier newValue = vocabulary.lookup(subject.getValue());
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Qualifier newValue = vocabulary.lookup(subject.getValue(), true);
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if (!ModelConstants.UNKNOWN.equals(newValue.getClassid())) {
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subject.setValue(newValue.getClassid());
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subject.getQualifier().setClassid(vocabularyId);
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@ -82,10 +82,10 @@ public class CleanContextTest {
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CleanContextSparkJob.main(new String[] {
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"--isSparkSessionManaged", Boolean.FALSE.toString(),
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"--inputPath", workingDir.toString() + "/publication",
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"-graphTableClassName", Publication.class.getCanonicalName(),
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"-workingPath", workingDir.toString() + "/working",
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"-contextId", "sobigdata",
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"-verifyParam", "gCube "
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"--graphTableClassName", Publication.class.getCanonicalName(),
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"--workingDir", workingDir.toString() + "/working",
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"--contextId", "sobigdata",
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"--verifyParam", "gCube "
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});
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final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
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@ -83,12 +83,12 @@ public class CleanCountryTest {
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CleanCountrySparkJob.main(new String[] {
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"--isSparkSessionManaged", Boolean.FALSE.toString(),
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"--inputPath", workingDir.toString() + "/publication",
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"-graphTableClassName", Publication.class.getCanonicalName(),
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"-workingPath", workingDir.toString() + "/working",
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"-country", "NL",
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"-verifyParam", "10.17632",
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"-collectedfrom", "NARCIS",
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"-hostedBy", getClass()
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"--graphTableClassName", Publication.class.getCanonicalName(),
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"--workingDir", workingDir.toString() + "/working",
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"--country", "NL",
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"--verifyParam", "10.17632",
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"--collectedfrom", "NARCIS",
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"--hostedBy", getClass()
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.getResource("/eu/dnetlib/dhp/oa/graph/clean/hostedBy")
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.getPath()
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});
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@ -7,6 +7,7 @@ import static org.mockito.Mockito.lenient;
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import java.io.IOException;
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import java.util.Collection;
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import java.util.List;
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import java.util.Optional;
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import java.util.Set;
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import java.util.stream.Collectors;
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import java.util.stream.Stream;
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@ -278,20 +279,25 @@ public class GraphCleaningFunctionsTest {
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s -> "0102 computer and information sciences".equals(s.getValue()) &
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ModelConstants.DNET_SUBJECT_FOS_CLASSID.equals(s.getQualifier().getClassid())));
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List<Subject> s1 = p_cleaned
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.getSubject()
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.stream()
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.filter(s -> s.getValue().equals("In Situ Hybridization"))
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.collect(Collectors.toList());
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assertNotNull(s1);
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assertEquals(1, s1.size());
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assertEquals(ModelConstants.DNET_SUBJECT_KEYWORD, s1.get(0).getQualifier().getClassid());
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assertEquals(ModelConstants.DNET_SUBJECT_KEYWORD, s1.get(0).getQualifier().getClassname());
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verify_keyword(p_cleaned, "In Situ Hybridization");
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verify_keyword(p_cleaned, "Avicennia");
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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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private static void verify_keyword(Publication p_cleaned, String subject) {
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Optional<Subject> s1 = p_cleaned
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.getSubject()
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.stream()
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.filter(s -> s.getValue().equals(subject))
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.findFirst();
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assertTrue(s1.isPresent());
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assertEquals(ModelConstants.DNET_SUBJECT_KEYWORD, s1.get().getQualifier().getClassid());
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assertEquals(ModelConstants.DNET_SUBJECT_KEYWORD, s1.get().getQualifier().getClassname());
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}
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private Stream<Qualifier> getAuthorPidTypes(Result pub) {
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return pub
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.getAuthor()
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@ -26,6 +26,7 @@ import com.fasterxml.jackson.databind.ObjectMapper;
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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 eu.dnetlib.dhp.schema.oaf.*;
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import eu.dnetlib.dhp.schema.oaf.utils.GraphCleaningFunctions;
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import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
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import eu.dnetlib.dhp.schema.oaf.utils.PidType;
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import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
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@ -238,7 +239,11 @@ class MappersTest {
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assertNotNull(i.getAccessright());
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assertEquals("OPEN", i.getAccessright().getClassid());
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});
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assertEquals("UNKNOWN", p.getInstance().get(0).getRefereed().getClassid());
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Publication p_cleaned = cleanup(p, vocs);
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assertEquals("0000", p_cleaned.getInstance().get(0).getRefereed().getClassid());
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assertEquals("Unknown", p_cleaned.getInstance().get(0).getRefereed().getClassname());
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assertNotNull(p.getInstance().get(0).getPid());
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assertEquals(2, p.getInstance().get(0).getPid().size());
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@ -453,7 +458,10 @@ class MappersTest {
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assertNotNull(i.getAccessright());
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assertEquals("OPEN", i.getAccessright().getClassid());
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});
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assertEquals("UNKNOWN", p.getInstance().get(0).getRefereed().getClassid());
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Publication p_cleaned = cleanup(p, vocs);
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assertEquals("0000", p_cleaned.getInstance().get(0).getRefereed().getClassid());
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assertEquals("Unknown", p_cleaned.getInstance().get(0).getRefereed().getClassname());
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}
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@Test
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@ -570,7 +578,9 @@ class MappersTest {
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assertTrue(i.getUrl().contains("http://apps.who.int/trialsearch/Trial3.aspx?trialid=NCT02321059"));
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assertTrue(i.getUrl().contains("https://clinicaltrials.gov/ct2/show/NCT02321059"));
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assertEquals("UNKNOWN", i.getRefereed().getClassid());
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Dataset d_cleaned = cleanup(d, vocs);
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assertEquals("0000", d_cleaned.getInstance().get(0).getRefereed().getClassid());
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assertEquals("Unknown", d_cleaned.getInstance().get(0).getRefereed().getClassname());
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}
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@Test
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@ -871,7 +881,10 @@ class MappersTest {
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assertNotNull(i.getAccessright());
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assertEquals("UNKNOWN", i.getAccessright().getClassid());
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});
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assertEquals("UNKNOWN", p.getInstance().get(0).getRefereed().getClassid());
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Dataset p_cleaned = cleanup(p, vocs);
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assertEquals("0000", p_cleaned.getInstance().get(0).getRefereed().getClassid());
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assertEquals("Unknown", p_cleaned.getInstance().get(0).getRefereed().getClassname());
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}
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@Test
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@ -907,24 +907,23 @@
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{
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"dataInfo": {
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"deletedbyinference": false,
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"inferenceprovenance": "",
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"inferred": false,
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"invisible": false,
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"provenanceaction": {
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"classid": "sysimport:crosswalk:datasetarchive",
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"classname": "sysimport:crosswalk:datasetarchive",
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"classid": "sysimport:actionset",
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"classname": "Harvested",
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"schemeid": "dnet:provenanceActions",
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"schemename": "dnet:provenanceActions"
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},
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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": "FOS",
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"classname": "Fields of Science and Technology classification",
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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": "doped silicon"
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"value": "Avicennia"
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},
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{
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"dataInfo": {
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