YAGO3: A Knowledge Base from Multilingual Wikipedias - IMT - Institut Mines-Télécom Access content directly
Conference Papers Year :

YAGO3: A Knowledge Base from Multilingual Wikipedias


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.
Fichier principal
Vignette du fichier
cidr2015.pdf (325.06 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01699874 , version 1 (02-02-2018)


  • 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⟩
1028 View
592 Download


Gmail Facebook Twitter LinkedIn More