English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6480/11652
Visitors : 20684103      Online Users : 244
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11868

Title: Knowledge Management through Knowledge Engineering
Authors: Lai, Lien-Fu;Hsueh, N. L.
Contributors: 資訊工程學系
Keywords: Knowledge management;Knowledge engineering;Conceptual graphs
Date: 2003-12
Issue Date: 2012-07-02T02:24:51Z
Publisher: IEEE
Abstract: Knowledge management facilitates the capture, storage, and dissemination of knowledge using information technology. As knowledge emerges as the primary competitive advantage for firms, knowledge management has received a lot of attention and is being used in an increasingly wide variety of application domains. In this paper, we propose a knowledge engineering approach (KMKE) to managing knowledge. In KMKE, knowledge management activities are integrated in a systematic framework consisting of knowledge modeling, knowledge verification, knowledge storage, and knowledge querying. First, a knowledge modeling approach is used to organizing and expressing variant types of knowledge in a unified knowledge representation. Second, a verification mechanism is used to verify knowledge models based on the formal semantics of the knowledge representation. Third, knowledge models can be classified and stored in a hierarchical ontology system. Finally, a knowledge query language is designed to enhance the dissemination of knowledge.
Relation: IEEE International Conference on Informatics, Cybernetics, and Systems (ICICS 2003), Dec. 14-16, 2003: 1877-1883
Appears in Collections:[資訊工程學系] 會議論文

Files in This Item:

File SizeFormat
2050400716003.pdf12KbAdobe PDF389View/Open


All items in NCUEIR are protected by copyright, with all rights reserved.

 


DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback