Task-based K-Support system: disseminating and sharing task-relevant knowledge

نویسندگان

  • Duen-Ren Liu
  • I-Chin Wu
  • Kuen-Shieh Yang
چکیده

In task-based business environments, effective knowledge management relies on providing task-relevant information to fulfill the information needs of knowledge workers. This work proposes an adaptive task-based profiling approach to model workers’ task needs, namely information needs (profiles) on tasks. Meanwhile, a fuzzy analytical method is proposed to identify peer-groups with similar taskneeds based on workers’ profiles. Accordingly, a Knowledge Support (K-Support) system is developed to provide a collaborative task-based workplace facilitating knowledge retrieval and sharing among peer-groups. The proposed K-Support system is grounded in a research institute to stimulate task-based knowledge retrieval and sharing. Experimental results show that the proposed system can support taskrelevant knowledge effectively. q 2005 Elsevier Ltd. All rights reserved.

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عنوان ژورنال:
  • Expert Syst. Appl.

دوره 29  شماره 

صفحات  -

تاریخ انتشار 2005