October 25, 2021 Conference paper Open Access

Boyko, Alex; Farshidi,Siamak; Zhao, Zhiming

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  <dc:creator>Boyko, Alex</dc:creator>
  <dc:creator>Farshidi,Siamak</dc:creator>
  <dc:creator>Zhao, Zhiming</dc:creator>
  <dc:date>2021-10-25</dc:date>
  <dc:description>Instance matching has attracted a wide range of research

attentions. A systematic literature review captures knowledge regarding

the state-of-the-art systematically, to analyze and report it in the form of

reusable knowledge. It is dicult to compare the performance of dierent

instance matching methods, even when the same benchmarking dataset

is used.</dc:description>
  <dc:identifier>https://zenodo.org/record/5872552</dc:identifier>
  <dc:identifier>10.5281/zenodo.5872552</dc:identifier>
  <dc:identifier>oai:zenodo.org:5872552</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/825134/</dc:relation>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/862409/</dc:relation>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/824068/</dc:relation>
  <dc:relation>doi:10.5281/zenodo.5872551</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>State-of-the-Art Instance Matching Methods for Knowledge Graphs?</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
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