October 25, 2021 Conference paper Open Access

Boyko, Alex; Farshidi,Siamak; Zhao, Zhiming

DataCite XML Export

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  <identifier identifierType="DOI">10.5281/zenodo.5872552</identifier>
  <creators>
    <creator>
      <creatorName>Boyko, Alex</creatorName>
      <givenName>Alex</givenName>
      <familyName>Boyko</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-3592-4986</nameIdentifier>
      <affiliation>University of Amsterdam</affiliation>
    </creator>
    <creator>
      <creatorName>Farshidi,Siamak</creatorName>
      <givenName>Siamak</givenName>
      <familyName>Farshidi</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6139-921X</nameIdentifier>
      <affiliation>University of Amsterdam</affiliation>
    </creator>
    <creator>
      <creatorName>Zhao, Zhiming</creatorName>
      <givenName>Zhiming</givenName>
      <familyName>Zhao</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-6717-9418</nameIdentifier>
      <affiliation>University of Amsterdam</affiliation>
    </creator>
  </creators>
  <titles>
    <title>State-of-the-Art Instance Matching Methods for Knowledge Graphs?</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-10-25</date>
  </dates>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
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    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5872552</alternateIdentifier>
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  <version>camera ready</version>
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    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Instance matching has attracted a wide range of research&lt;/p&gt;

&lt;p&gt;attentions. A systematic literature review captures knowledge regarding&lt;/p&gt;

&lt;p&gt;the state-of-the-art systematically, to analyze and report it in the form of&lt;/p&gt;

&lt;p&gt;reusable knowledge. It is dicult to compare the performance of dierent&lt;/p&gt;

&lt;p&gt;instance matching methods, even when the same benchmarking dataset&lt;/p&gt;

&lt;p&gt;is used.&lt;/p&gt;</description>
  </descriptions>
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      <funderName>European Commission</funderName>
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