YAGO: A Multilingual Knowledge Base from Wikipedia, Wordnet, and Geonames

被引：167

作者：

Rebele, Thomas ^{[1
]}

Suchanek, Fabian ^{[1
]}

Hoffart, Johannes ^{[2
]}

Biega, Joanna ^{[2
]}

Kuzey, Erdal ^{[2
]}

Weikum, Gerhard ^{[2
]}

机构：

[1] Telecom ParisTech, 46 Rue Barrault, F-75013 Paris, France

[2] Max Planck Inst Informat, Campus E1 4, D-66123 Saarbrucken, Germany

来源：

SEMANTIC WEB - ISWC 2016, PT II | 2016年 / 9982卷

关键词：

Knowledge base; Wikipedia; WordNet; Geonames; DBPEDIA;

D O I：

10.1007/978-3-319-46547-0_19

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

YAGO is a large knowledge base that is built automatically from Wikipedia, WordNet and GeoNames. The project combines information from Wikipedias in 10 different languages into a coherent whole, thus giving the knowledge a multilingual dimension. It also attaches spatial and temporal information to many facts, and thus allows the user to query the data over space and time. YAGO focuses on extraction quality and achieves a manually evaluated precision of 95 %. In this paper, we explain how YAGO is built from its sources, how its quality is evaluated, how a user can access it, and how other projects utilize it.

引用

页码：177 / 185

页数：9

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