YAGO3: A knowledge base from multilingual wikipedias

Farzaneh Mahdisoltani; Joanna Biega; Fabian M. Suchanek

YAGO3: A knowledge base from multilingual wikipedias

Farzaneh Mahdisoltani
, Joanna Biega
, Fabian M. Suchanek

Max-Planck-Institut fur Informatik

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Publication status	Published - 1 Jan 2015
Event	7th Biennial Conference on Innovative Data Systems Research, CIDR 2015 - Asilomar, United States Duration: 4 Jan 2015 → 7 Jan 2015

Conference

Conference	7th Biennial Conference on Innovative Data Systems Research, CIDR 2015
Country/Territory	United States
City	Asilomar
Period	4/01/15 → 7/01/15

Cite this

@conference{7e9898831f164c0d92caff40cd3a62fc,

title = "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.",

author = "Farzaneh Mahdisoltani and Joanna Biega and Suchanek, \{Fabian M.\}",

note = "Publisher Copyright: {\textcopyright} 2015 Conference on Innovative Data Systems Research (CIDR). All rights reserved.; 7th Biennial Conference on Innovative Data Systems Research, CIDR 2015 ; Conference date: 04-01-2015 Through 07-01-2015",

year = "2015",

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day = "1",

language = "English",

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TY - CONF

T1 - YAGO3

T2 - 7th Biennial Conference on Innovative Data Systems Research, CIDR 2015

AU - Mahdisoltani, Farzaneh

AU - Biega, Joanna

AU - Suchanek, Fabian M.

PY - 2015/1/1

Y1 - 2015/1/1

N2 - 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.

AB - 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.

M3 - Paper

AN - SCOPUS:85084015485

Y2 - 4 January 2015 through 7 January 2015

ER -

YAGO3: A knowledge base from multilingual wikipedias

Abstract

Conference

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