YAGO 4: A Reason-able Knowledge Base

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationThe Semantic Web - 17th International Conference, ESWC 2020, Proceedings
EditorsAndreas Harth, Sabrina Kirrane, Axel-Cyrille Ngonga Ngomo, Heiko Paulheim, Anisa Rula, Anna Lisa Gentile, Peter Haase, Michael Cochez
PublisherSpringer
Pages583-596
Number of pages14
ISBN (Print)9783030494605
DOIs
Publication statusPublished - 1 Jan 2020
Event17th Extended Semantic Web Conference, ESWC 2020 - Heraklion, Greece
Duration: 31 May 20204 Jun 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12123 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th Extended Semantic Web Conference, ESWC 2020
Country/TerritoryGreece
CityHeraklion
Period31/05/204/06/20

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