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공공누리This item is licensed Korea Open Government License

Title
Tag Based Collaborative Knowledge Management System with Crowdsourcing
Author(s)
김무철김용기박상오주원균최기석
Publication Year
2013-09-30
Abstract
Many researchers have taken an interest in a collective intelligence the development of the user-generated web. Knowledge publishing and management with interactions between users are mostly a social revolution from the wisdom of crowds. This paper proposes a tag based collaborative knowledge management system. It can be realized both the collective intelligence with the crowdsourcing system and the dynamic categorization with the collaborative tagging approach. In addition, we establish the trustworthy knowledge through significant role allotment between a user group and a knowledge expert group.
Keyword
Web2.0; Collective Intelligence; Crowd sourcing; Knowledge management
Journal Title
Wang ji wang lu ji shu xue kan
ISSN
1607-9264
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Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/14132
http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=NART73223013
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