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Thesaurus Updating Using Collective Intelligence: Based on Wikipedia Encyclopedia

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2009, 26(3), pp.25~43
  • DOI : 10.3743/KOSIM.2009.26.3.025
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : June 23, 2009
  • Accepted : July 1, 2009
  • Published : September 30, 2009

Han, Seung Hee 1

1서울여자대학교

Accredited

ABSTRACT

The purpose of this study is to suggest how the classic thesaurus structure of terms and links can be mined and updated from Wikipedia encyclopedia, which is the best practice of collective intelligence. In a comparison with ASIS&T thesaurus, it was found that Wikipedia contains a substantial coverage of domain-specific concepts and semantic relations. Furthermore, it was resulted that the structural characteristics of Wikipedia, such as redirects, categories, and mutual links are suitable to extract semantic relationships of thesaurus. It is needed to apply to update various thesauri, including multilingual thesaurus, in order to generalize the results of this research.

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