YAGO 4: A Reason-able Knowledge Base
| Autor: | Fabian M. Suchanek, Thomas Pellissier Tanon, Gerhard Weikum |
|---|---|
| Přispěvatelé: | Data, Intelligence and Graphs (DIG), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Département Informatique et Réseaux (INFRES), Télécom ParisTech, Institut Polytechnique de Paris (IP Paris), Max-Planck-Institut für Informatik (MPII), Max-Planck-Gesellschaft, NoRDF DSAIDIS |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]
Information retrieval business.industry Computer science [INFO.INFO-WB]Computer Science [cs]/Web Web Ontology Language Cloud computing 02 engineering and technology Linked data Ontology (information science) Article Resource (project management) Knowledge base Description logic 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business computer computer.programming_language |
| Zdroj: | The Semantic Web The Semantic Web ISBN: 9783030494605 ESWC The Semantic Web 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31–June 4, 2020, Proceedings European Semantic Web Conference European Semantic Web Conference, May 2020, virtual, Greece. pp.583--596, ⟨10.1007/978-3-030-49461-2_34⟩ |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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