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
    Period2004/11/082004/11/10

    ASJC Scopus subject areas

    • Engineering(all)

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