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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.

Data and Resources

Cite this as

Farzaneh Mahdisoltani, Joanna Biega, Fabian Martin Suchanek (2024). Dataset: YAGO3: A Knowledge Base from Multilingual Wikipedias. https://doi.org/10.57702/g3f0fipm

DOI retrieved: April 18, 2024

Additional Info

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Created April 18, 2024
Last update April 18, 2024
License notspecified: License not specified
Author Farzaneh Mahdisoltani
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Joanna Biega
Fabian Martin Suchanek
Author Email Farzaneh Mahdisoltani