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Decoding Wikipedia categories for knowledge acquisition
Abstract This paper presents an approach to acquireThis paper presents an approach to acquire knowledge from Wikipedia categories and the category network. Many Wikipedia categories have complex names which reflect human classification and organizing instances, and thus encode knowledge about class attributes, taxonomic and other semantic relations. We decode the names and refer back to the network to induce relations between concepts in Wikipedia represented through pages or categories. The category structure allows us to propagate a relation detected between constituents of a category name to numerous concept links. The results of the process are evaluated against ResearchCyc and a subset also by human judges. The results support the idea that Wikipedia category names are a rich source of useful and accurate knowledge. Copyright © 2008, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.gence (www.aaai.org). All rights reserved.
Abstractsub This paper presents an approach to acquireThis paper presents an approach to acquire knowledge from Wikipedia categories and the category network. Many Wikipedia categories have complex names which reflect human classification and organizing instances, and thus encode knowledge about class attributes, taxonomic and other semantic relations. We decode the names and refer back to the network to induce relations between concepts in Wikipedia represented through pages or categories. The category structure allows us to propagate a relation detected between constituents of a category name to numerous concept links. The results of the process are evaluated against ResearchCyc and a subset also by human judges. The results support the idea that Wikipedia category names are a rich source of useful and accurate knowledge. Copyright © 2008, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.gence (www.aaai.org). All rights reserved.
Bibtextype inproceedings  +
Has author Vivi Nastase + , Michael Strube +
Has extra keyword Artificial intelligence + , Bionics + , Decoding + , Information theory + , Class attributes + , Semantic relations + , Wikipedia + , Knowledge acquisition +
Isbn 9781577353683  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 1219–1224  +
Published in Proceedings of the National Conference on Artificial Intelligence +
Title Decoding Wikipedia categories for knowledge acquisition +
Type conference paper  +
Volume 2  +
Year 2008 +
Creation dateThis property is a special property in this wiki. 7 November 2014 14:13:51  +
Categories Publications without keywords parameter  + , Publications without license parameter  + , Publications without DOI parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 14:13:51  +
DateThis property is a special property in this wiki. 2008  +
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