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Exploiting Equivalence to Infer Type Subsumption in Linked Graphs

Part of the Lecture Notes in Computer Science book series (LNISA,volume 11155)

Abstract

Open Knowledge Graphs (KGs) such as DBpedia and Wikidata have been recognized as the foundations for diverse applications in the field of data mining and information retrieval. Each of these KGs follows a different knowledge organization as well as is based on differently structured ontologies. Moreover, it has been observed that type information are often noisy, incomplete or even incorrect. In general, there is a need for well defined and comparable type information for the entities of the KGs. In this paper, we propose an isomorphism-based approach to infer subsumption relations to RDF type information in Wikidata by exploiting the RDF type information from DBpedia.

Keywords

  • Knowledge graph
  • RDF
  • Wikidata
  • DBpedia

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Fig. 1.
Fig. 2.

Notes

  1. 1.

    https://www.wikidata.org/wiki/Property:P31.

  2. 2.

    https://www.w3.org/RDFS/.

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Correspondence to Russa Biswas .

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Biswas, R., Koutraki, M., Sack, H. (2018). Exploiting Equivalence to Infer Type Subsumption in Linked Graphs. In: , et al. The Semantic Web: ESWC 2018 Satellite Events. ESWC 2018. Lecture Notes in Computer Science(), vol 11155. Springer, Cham. https://doi.org/10.1007/978-3-319-98192-5_14

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  • DOI: https://doi.org/10.1007/978-3-319-98192-5_14

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