Exploiting equivalence to infer type subsumption in linked graphs

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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.

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Biswas, R., Koutraki, M., & Sack, H. (2018). Exploiting equivalence to infer type subsumption in linked graphs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11155 LNCS, pp. 72–76). Springer Verlag. https://doi.org/10.1007/978-3-319-98192-5_14

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