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YAGO 4: A Reason-able Knowledge Base

Abstract : YAGO is one of the large knowledge bases in the Linked Open Data cloud. In this resource paper, we present its latest version, YAGO 4, which reconciles the rigorous typing and constraints of schema.org with the rich instance data of Wikidata. The resulting resource contains 2 billion type-consistent triples for 64 Million entities, and has a consistent ontology that allows semantic reasoning with OWL 2 description logics.
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https://hal-imt.archives-ouvertes.fr/hal-03108570
Contributor : Fabian Suchanek <>
Submitted on : Wednesday, January 13, 2021 - 11:57:57 AM
Last modification on : Tuesday, September 14, 2021 - 6:52:40 PM
Long-term archiving on: : Wednesday, April 14, 2021 - 6:33:40 PM

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Thomas Pellissier Tanon, Gerhard Weikum, Fabian Suchanek. YAGO 4: A Reason-able Knowledge Base. European Semantic Web Conference, May 2020, virtual, Greece. pp.583--596, ⟨10.1007/978-3-030-49461-2_34⟩. ⟨hal-03108570⟩

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