標題: Mining group-based knowledge flows for sharing task knowledge
作者: Liu, Duen-Ren
Lai, Chin-Hui
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: Knowledge flow;Group-based knowledge flow;Knowledge graph;Knowledge sharing;Data mining;Topic;Task
公開日期: 1-一月-2011
摘要: In an organization, knowledge is the most important resource in the creation of core competitive advantages. It is circulated and accumulated by knowledge flows (KFs) in the organization to support workers' task needs. Because workers accumulate knowledge of different domains, they may cooperate and participate in several task-based groups to satisfy their needs. In this paper, we propose algorithms that integrate information retrieval and data mining techniques to mine and construct group-based KFs (GKFs) for task-based groups. A GKF is expressed as a directed knowledge graph which represents the knowledge referencing behavior, or knowledge flow, of a group of workers with similar task needs. Task-related knowledge topics and their relationships (flows) can be identified from the knowledge graph so as to fulfill workers' task needs and promote knowledge sharing for collaboration of group members. Moreover, the frequent knowledge referencing path can be identified from the knowledge graph to indicate the frequent knowledge flow of the workers. To demonstrate the efficacy of the proposed methods, we implement a prototype of the GKF mining system. Our GKF mining methods can enhance organizational learning and facilitate knowledge management, sharing, and reuse in an environment where collaboration and teamwork are essential. (C) 2010 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.dss.2010.09.004
http://hdl.handle.net/11536/26113
ISSN: 0167-9236
DOI: 10.1016/j.dss.2010.09.004
期刊: DECISION SUPPORT SYSTEMS
Volume: 50
Issue: 2
起始頁: 370
結束頁: 386
顯示於類別:期刊論文


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