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

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

*此作品的通信作者

    研究成果: 書貢獻/報告類型會議論文篇章

    7 引文 斯高帕斯(Scopus)

    摘要

    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.

    原文英語
    主出版物標題Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005
    頁面19-24
    頁數6
    DOIs
    出版狀態已發佈 - 2005 十二月 1
    事件2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005 - Las Vegas, NV, 美国
    持續時間: 2005 八月 152005 八月 17

    出版系列

    名字Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005
    2005

    會議

    會議2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005
    國家/地區美国
    城市Las Vegas, NV
    期間2005/08/152005/08/17

    ASJC Scopus subject areas

    • 工程 (全部)

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