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YAGO: a large ontology from Wikipedia and WordNet
Abstract This article presents YAGO, a large ontoloThis article presents YAGO, a large ontology with high coverage and precision. YAGO has been automatically derived from Wikipedia and WordNet. It comprises entities and relations, and currently contains more than 1.7 million entities and 15 million facts. These include the taxonomic Is-A hierarchy as well as semantic relations between entities. The facts for YAGO have been extracted from the category system and the infoboxes of Wikipedia and have been combined with taxonomic relations from WordNet. Type checking techniques help us keep YAGO's precision at 95%-as proven by an extensive evaluation study. YAGO is based on a clean logical model with a decidable consistency. Furthermore, it allows representing n-ary relations in a natural way while maintaining compatibility with RDFS. A powerful query model facilitates access to YAGO's data.y model facilitates access to YAGO's data.
Added by wikilit team Added on initial load  +
Collected data time dimension Cross-sectional  +
Conclusion YAGO opens up new opportunities and challeYAGO opens up new opportunities and challenges. On the theoretical side, we plan to investigate how the YAGO model and OWL 1.1 can be reconciled, once OWL 1.1 has been fully developed. Furthermore, the efficiency of the query engine deserves attention. On the practical side, we plan to enrich YAGO by further facts from other sources. We hope that future information extraction can profit from the knowledge that YAGO already provides – for example to do type checks or to generate seed pairs. This could result in a positive feedback loop, in which the addition of knowledge helps the extraction of new knowledge.dge helps the extraction of new knowledge.
Data source Archival records  + , Experiment responses  + , Wikipedia pages  +
Doi 10.1016/j.websem.2008.06.001 +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22YAGO%3A%2Ba%2Blarge%2Bontology%2Bfrom%2BWikipedia%2Band%2BWordNet%22  +
Has author Fabian M. Suchanek + , Gjergji Kasneci + , Gerhard Weikum +
Has domain Computer science +
Has topic Ontology building +
Issue 3  +
Pages 203-217  +
Peer reviewed Yes  +
Publication type Journal article  +
Published in Journal of Web Semantics +
Research design Experiment  +
Research questions This article presents YAGO, a large ontoloThis article presents YAGO, a large ontology with high coverage and precision. YAGO has been automatically derived from Wikipedia and WordNet. It comprises entities and relations, and currently contains more than 1.7 million entities and 15 million facts. These include the taxonomic Is-A hierarchy as well as semantic relations between entities. The facts for YAGO have been extracted from the category system and the infoboxes of Wikipedia and have been combined with taxonomic relations fromWordNet. Type checking techniques help us keep YAGO’s precision at 95% – as proven by an extensive evaluation study. YAGO is based on a clean logical model with a decidable consistency. Furthermore, it allows representing n-ary relations in a natural way while maintaining compatibility with RDFS. A powerful query model facilitates access to YAGO’s data.y model facilitates access to YAGO’s data.
Revid 11,114  +
Theories Undetermined
Theory type Design and action  +
Title YAGO: a large ontology from Wikipedia and WordNet
Unit of analysis Article  +
Url http://mx1.websemanticsjournal.org/index.php/ps/article/download/144/142  +
Volume 6  +
Wikipedia coverage Sample data  +
Wikipedia data extraction Dump  +
Wikipedia language English  +
Wikipedia page type Article  +
Year 2008  +
Creation dateThis property is a special property in this wiki. 15 March 2012 20:36:49  +
Categories Ontology building  + , Computer science  + , Publications with missing comments  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:34:24  +
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