A search engine for browsing the Wikipedia thesaurus

Authors:
Kotaro Nakayama;Takahiro Hara;Shojiro Nishio
Affiliations:
Dept. of Multimedia Eng., Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan;Dept. of Multimedia Eng., Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan;Dept. of Multimedia Eng., Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan
Venue:
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Year:
2008

Citing 2
Cited 1

A Thesaurus Construction Method from Large ScaleWeb Dictionaries

AINA '07 Proceedings of the 21st International Conference on Advanced Networking and Applications
Wikipedia mining for an association web thesaurus construction

WISE'07 Proceedings of the 8th international conference on Web information systems engineering

WikiPics: multilingual image search based on Wiki-mining

Proceedings of the 6th International Symposium on Wikis and Open Collaboration

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Abstract

Wikipedia has become a huge phenomenon on the WWW. As a corpus for knowledge extraction, it has various impressive characteristics such as a huge amount of articles, live updates, a dense link structure, brief link texts and URL identification for concepts. In our previous work, we proposed link structure mining algorithms to extract a huge scale and accurate association thesaurus from Wikipedia. The association thesaurus covers almost 1.3million concepts and the significant accuracy is proved in detailed experiments. To prove its practicality, we implemented three features on the association thesaurus; a search engine for browsing Wikipedia Thesaurus, an XML Web service for the thesaurus and a Semantic Web support feature. We show these features in this demonstration.