Tag based collaborative knowledge management system with crowdsourcing
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, M. | - |
dc.contributor.author | Park, S.O. | - |
dc.contributor.author | Joo, W.-K. | - |
dc.contributor.author | Choi, K. | - |
dc.contributor.author | Jeong, Y.-S. | - |
dc.contributor.author | Kim, Y.-K. | - |
dc.date.accessioned | 2023-02-08T07:42:35Z | - |
dc.date.available | 2023-02-08T07:42:35Z | - |
dc.date.issued | 2013-09 | - |
dc.identifier.issn | 1607-9264 | - |
dc.identifier.issn | 2079-4029 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60298 | - |
dc.description.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. | - |
dc.format.extent | 8 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | Tag based collaborative knowledge management system with crowdsourcing | - |
dc.type | Article | - |
dc.identifier.doi | 10.6138/JIT.2013.14.5.15 | - |
dc.identifier.bibliographicCitation | Journal of Internet Technology, v.14, no.5, pp 859 - 866 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-84890347618 | - |
dc.citation.endPage | 866 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 859 | - |
dc.citation.title | Journal of Internet Technology | - |
dc.citation.volume | 14 | - |
dc.type.docType | Article | - |
dc.publisher.location | 대만 | - |
dc.subject.keywordAuthor | Collective intelligence | - |
dc.subject.keywordAuthor | Crowdsourcing | - |
dc.subject.keywordAuthor | Knowledge management. | - |
dc.subject.keywordAuthor | Web 2.0 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.