YAGO3: A Knowledge Base from Multilingual Wikipedias

Farzaneh Mahdisoltani , Joanna Biega (1) , Fabian M. Suchanek (2)

1 MPII - Max-Planck-Institut für Informatik
2 LTCI - Laboratoire Traitement et Communication de l'Information

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.

Domaines: Web; Base de données [cs.DB]

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