K-support system: Knowledge support for disseminating and sharing task-relevant knowledge

I. Chin Wu, Duen Ren Liu, Kuen Shieh Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In task-based business environments, an important issue in deploying Knowledge Management Systems (KMS) is providing task-relevant information to fulfill the information needs of knowledge workers. This work develops a Knowledge Support (K-Support) system providing a collaborative task-based workplace to facilitate knowledge retrieval and sharing among peergroups. In the developed system, an adaptive task-based profiling approach is proposed to model worker's information needs (profiles), while a fuzzy analytical method is proposed to identify peer-groups with similar task-interests based on workers' profiles. The K-Support system is grounded in a research institute to effectively stimulate task-based knowledge retrieval and sharing.

Original languageEnglish
Title of host publicationProceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004
EditorsA.M. Memon, N. Zhao
Pages326-331
Number of pages6
Publication statusPublished - 2004 Dec 1
EventProceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004 - Las Vegas, NV, United States
Duration: 2004 Nov 82004 Nov 10

Publication series

NameProceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004

Conference

ConferenceProceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004
CountryUnited States
CityLas Vegas, NV
Period04/11/804/11/10

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Wu, I. C., Liu, D. R., & Yang, K. S. (2004). K-support system: Knowledge support for disseminating and sharing task-relevant knowledge. In A. M. Memon, & N. Zhao (Eds.), Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004 (pp. 326-331). (Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004).