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

  • Authors:
  • Duen-Ren Liu;I-Chin Wu;Kuen-Shieh Yang

  • Affiliations:
  • Institute of Information Management, National Chiao Tung University, 1001 Ta Hseuh Road, Hsinchu 300, Taiwan, ROC;Institute of Information Management, National Chiao Tung University, 1001 Ta Hseuh Road, Hsinchu 300, Taiwan, ROC;Institute of Information Management, National Chiao Tung University, 1001 Ta Hseuh Road, Hsinchu 300, Taiwan, ROC

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2005

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Abstract

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 task-needs 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 task-relevant knowledge effectively.