[orcidenrichment] Do not match in case of ambiguity: two authors match and at least one of them has affiliation string
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@ -7,6 +7,7 @@ import eu.dnetlib.dhp.schema.sx.OafUtils
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import java.util
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import scala.beans.BeanProperty
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import scala.collection.JavaConverters._
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import scala.collection.mutable.ArrayBuffer
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import scala.util.control.Breaks.{break, breakable}
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case class OrcidAuthor(
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@ -47,13 +48,14 @@ object ORCIDAuthorEnricher extends Serializable {
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id: String,
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graph_authors: java.util.List[Author],
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orcid_authors: java.util.List[OrcidAuthor],
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classid:String,
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provenance:String
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classid: String,
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provenance: String
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): ORCIDAuthorEnricherResult = {
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// Author enriching strategy:
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// 1) create a copy of graph author list in unmatched_authors
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// 2) find best match in unmatched_authors, remove it from unmatched_authors and enrich it so
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// that the enrichment is reflected in graph_authors (they share author instances)
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// that the enrichment is reflected in graph_authors (they share author instances).
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// Do not match in case of ambiguity: two authors match and at least one of them has affiliation string
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// 3) repeat (2) till the end of the list and then with different matching algorithms that have decreasing
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// trust in their output
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// At the end unmatched_authors will contain authors not matched with any of the matching algos
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@ -87,7 +89,19 @@ object ORCIDAuthorEnricher extends Serializable {
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(author, orcid) =>
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AuthorMatchers
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.matchOrderedTokenAndAbbreviations(author.getFullname, orcid.givenName + " " + orcid.familyName),
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"orderedTokens",
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"orderedTokens-1",
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classid,
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provenance,
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skipAmbiguities = true
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) ++
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// split author names in tokens, order the tokens, then check for matches of full tokens or abbreviations
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extractAndEnrichMatches(
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unmatched_authors,
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orcid_authors,
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(author, orcid) =>
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AuthorMatchers
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.matchOrderedTokenAndAbbreviations(author.getFullname, orcid.givenName + " " + orcid.familyName),
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"orderedTokens-2",
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classid,
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provenance
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) ++
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@ -116,28 +130,38 @@ object ORCIDAuthorEnricher extends Serializable {
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}
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private def extractAndEnrichMatches(
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graph_authors: java.util.List[Author],
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unmatched_authors: java.util.List[Author],
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orcid_authors: java.util.List[OrcidAuthor],
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matchingFunc: (Author, OrcidAuthor) => Boolean,
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matchName: String,
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classid:String,
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provenance : String
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) = {
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val matched = scala.collection.mutable.ArrayBuffer.empty[MatchedAuthors]
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classid: String,
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provenance: String,
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skipAmbiguities: Boolean = false
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): ArrayBuffer[MatchedAuthors] = {
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val matched = ArrayBuffer.empty[MatchedAuthors]
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if (graph_authors != null && !graph_authors.isEmpty) {
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val ait = graph_authors.iterator
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if (unmatched_authors == null || unmatched_authors.isEmpty) {
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return matched
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}
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while (ait.hasNext) {
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val author = ait.next()
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val oit = orcid_authors.iterator
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breakable {
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while (oit.hasNext) {
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val orcid = oit.next()
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val candidates = unmatched_authors.asScala.foldLeft(ArrayBuffer[Author]())((res, author) => {
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if (matchingFunc(author, orcid)) {
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ait.remove()
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res += author
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}
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res
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})
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if (
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candidates.size == 1 ||
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(candidates.size > 1 && !skipAmbiguities && !candidates
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.exists(a => a.getRawAffiliationString != null && !a.getRawAffiliationString.isEmpty))
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) {
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val author = candidates(0)
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unmatched_authors.remove(author)
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oit.remove()
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matched += MatchedAuthors(author, orcid, matchName)
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@ -146,20 +170,14 @@ object ORCIDAuthorEnricher extends Serializable {
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}
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val orcidPID = OafUtils.createSP(orcid.orcid, classid, classid)
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//val orcidPID = OafUtils.createSP(orcid.orcid, ModelConstants.ORCID, ModelConstants.ORCID)
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orcidPID.setDataInfo(OafUtils.generateDataInfo())
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orcidPID.getDataInfo.setProvenanceaction(
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//OafUtils.createQualifier("ORCID_ENRICHMENT", "ORCID_ENRICHMENT")
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OafUtils.createQualifier(provenance, provenance)
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)
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author.getPid.add(orcidPID)
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}
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break()
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}
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}
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}
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}
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}
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matched
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