DocumentCode :
3229358
Title :
Mining Domain-Specific Thesauri from Wikipedia: A Case Study
Author :
Milne, David ; Medelyan, Olena ; Witten, Ian H.
Author_Institution :
Dept. of Comput. Sci., Waikato Univ., Hamilton
fYear :
2006
fDate :
18-22 Dec. 2006
Firstpage :
442
Lastpage :
448
Abstract :
Domain-specific thesauri are high-cost, high-maintenance, high-value knowledge structures. We show how the classic thesaurus structure of terms and links can be mined automatically from Wikipedia. In a comparison with a professional thesaurus for agriculture we find that Wikipedia contains a substantial proportion of its concepts and semantic relations; furthermore it has impressive coverage of contemporary documents in the domain. Thesauri derived using our techniques capitalize on existing public efforts and tend to reflect contemporary language usage better than their costly, painstakingly-constructed manual counterparts
Keywords :
Web sites; agriculture; data mining; document handling; thesauri; Wikipedia; agriculture; domain-specific thesauri mining; knowledge structures; Agriculture; Art; Computer science; Content based retrieval; Information retrieval; Investments; Manuals; Natural languages; Thesauri; Wikipedia;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2747-7
Type :
conf
DOI :
10.1109/WI.2006.119
Filename :
4061409
Link To Document :
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