Conference paper Open Access

State-of-the-Art Instance Matching Methods for Knowledge Graphs?

Boyko, Alex; Farshidi,Siamak; Zhao, Zhiming


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5872552", 
  "title": "State-of-the-Art Instance Matching Methods for Knowledge Graphs?", 
  "issued": {
    "date-parts": [
      [
        2021, 
        10, 
        25
      ]
    ]
  }, 
  "abstract": "<p>Instance matching has attracted a wide range of research</p>\n\n<p>attentions. A systematic literature review captures knowledge regarding</p>\n\n<p>the state-of-the-art systematically, to analyze and report it in the form of</p>\n\n<p>reusable knowledge. It is dicult to compare the performance of dierent</p>\n\n<p>instance matching methods, even when the same benchmarking dataset</p>\n\n<p>is used.</p>", 
  "author": [
    {
      "family": "Boyko, Alex"
    }, 
    {
      "family": "Farshidi,Siamak"
    }, 
    {
      "family": "Zhao, Zhiming"
    }
  ], 
  "id": "5872552", 
  "version": "camera ready", 
  "type": "paper-conference", 
  "event": "The Sixteenth International Workshop on Ontology Matching (OM-2021),co-located with the 20th International Semantic Web Conference (ISWC 2021) (OM-2021)"
}
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