Skip to Main content Skip to Navigation
Conference papers

YAGO3: A Knowledge Base from Multilingual Wikipedias

Abstract : We present YAGO3, an extension of the YAGO knowledge base that combines the information from the Wikipedias in multiple languages. Our technique fuses the multilingual information with the English WordNet to build one coherent knowledge base. We make use of the categories, the infoboxes, and Wikidata, and learn the meaning of infobox attributes across languages. We run our method on 10 different languages, and achieve a precision of 95%-100% in the attribute mapping. Our technique enlarges YAGO by 1m new entities and 7m new facts.
Document type :
Conference papers
Complete list of metadata

Cited literature [29 references]  Display  Hide  Download
Contributor : Fabian Suchanek Connect in order to contact the contributor
Submitted on : Friday, February 2, 2018 - 6:07:26 PM
Last modification on : Tuesday, October 19, 2021 - 11:14:11 AM
Long-term archiving on: : Thursday, May 3, 2018 - 12:54:48 PM


Files produced by the author(s)


  • HAL Id : hal-01699874, version 1



Farzaneh Mahdisoltani, Joanna Biega, Fabian M. Suchanek. YAGO3: A Knowledge Base from Multilingual Wikipedias. CIDR, Jan 2013, Asilomar, United States. ⟨hal-01699874⟩



Record views


Files downloads