Task-stage knowledge support: Coupling user information needs with stage identification

I. Chin Wu, Duen Ren Liu, Wei Hsiao Chen

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

    7 Citations (Scopus)

    Abstract

    Effective knowledge support in knowledge-intensive environments can place great demands on information filtering (IF) strategies. An IF system that relies on traditional information retrieval technology and user models (e.g., user profiles) is regarded as an effective approach for supporting long-term information needs. To provide a more effective knowledge support, we propose a task-stage knowledge support model that incorporates the advantages of the traditional IF model with the characteristics of each task-stage. A correlation analysis method is proposed to determine a worker's task-stage (e.g., pre-focus, focus formulation, and post-focus task stages), and an ontology-based topic discovery method is proposed to examine the variety of a worker's information needs for specific topics. Consequently, the knowledge support is achieved by coupling user information needs with task-stage identification.

    Original languageEnglish
    Title of host publicationProceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005
    Pages19-24
    Number of pages6
    DOIs
    Publication statusPublished - 2005 Dec 1
    Event2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005 - Las Vegas, NV, United States
    Duration: 2005 Aug 152005 Aug 17

    Publication series

    NameProceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005
    Volume2005

    Conference

    Conference2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005
    CountryUnited States
    CityLas Vegas, NV
    Period05/8/1505/8/17

    ASJC Scopus subject areas

    • Engineering(all)

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