Paper Info
Title
YAGO: A Multilingual Knowledge Base from Wikipedia, Wordnet, and Geonames.
Abstract
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.
Year
DOI
Venue
2016
10.1007/978-3-319-46547-0_19
Lecture Notes in Computer Science
Keywords
Field
DocType
Knowledge base,Wikipedia,WordNet,Geonames
Information retrieval,Computer science,Artificial intelligence,Natural language processing,Knowledge base,WordNet
Conference
Volume
ISSN
Citations 
9982
0302-9743
24
PageRank 
References 
Authors
0.84
21
6
Name
Order
Citations
PageRank
Thomas Rebele1240.84
Fabian M. Suchanek23900188.75
Johannes Hoffart3136252.62
Joanna Biega422510.91
Erdal Kuzey5793.81
Gerhard Weikum6127102146.01