標題: Modeling the knowledge-flow view for collaborative knowledge support
作者: Liu, Duen-Ren
Lin, Chih-Wei
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;Knowledge-flow view;Collaborative knowledge support;Teamwork;Ontology
公開日期: 1-Jul-2012
摘要: In knowledge-based organizations, workers need task-relevant knowledge and documents to support their task performance. A knowledge flow (KF) represents the flow of an individual's or group members' knowledge-needs and the referencing sequence of documents in the performance of tasks. Through knowledge flows, organizations can provide task-relevant knowledge to workers to fulfill their knowledge-needs. Nevertheless, in a collaborative environment, workers usually have different knowledge-needs in accordance with their individual task functions. Conventional KF models do not provide workers with the different views of a knowledge flow that they require to meet these knowledge-needs. Several researchers have investigated KF models but they did not address the concept of the knowledge-flow view (KFV). This study proposes a theoretical model of the KFV using innovative methods. Basically, a KFV is a virtual knowledge flow derived from a base knowledge flow that abstracts knowledge concepts for individual workers based on their knowledge-needs. The KFV model in this study builds knowledge-flow views by abstracting knowledge nodes in a base knowledge flow to generate corresponding virtual knowledge nodes through an order-preserving approach and a knowledge concept generalization mechanism. The knowledge-flow views not only fulfill workers' different knowledge-needs but also facilitate knowledge support in teamwork. (C) 2012 Elsevier B.V. All rights reserved.
URI: http://hdl.handle.net/11536/16253
ISSN: 0950-7051
期刊: KNOWLEDGE-BASED SYSTEMS
Volume: 31
Issue: 
結束頁: 41
Appears in Collections:Articles


Files in This Item:

  1. 000304230500005.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.