摘要
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.
原文 | 英語 |
---|---|
頁(從 - 到) | 408-423 |
頁數 | 16 |
期刊 | Expert Systems with Applications |
卷 | 29 |
發行號 | 2 |
DOIs | |
出版狀態 | 已發佈 - 2005 8月 |
對外發佈 | 是 |
ASJC Scopus subject areas
- 一般工程
- 電腦科學應用
- 人工智慧