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Thesaurus Updating Using Collective Intelligence: Based on Wikipedia Encyclopedia

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2009, v.26 no.3, pp.25-43
https://doi.org/10.3743/KOSIM.2009.26.3.025

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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.

keywords
thesaurus update, thesaurus maintenance, thesaurus, collective intelligence, Wikipedia, 시소러스 갱신, 시소러스 유지관리, 시소러스, 집단지성, 위키피디아, thesaurus update, thesaurus maintenance, thesaurus, collective intelligence, Wikipedia

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Journal of the Korean Society for Information Management