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NCUEIR > College of Engineering > Department and Graduate Institute of Computer Science and Information Engineering > Periodical Articles > Item 987654321/11702

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11702

Title:	Developing the KMKE knowledge management system based on design patterns and parallel processing
Authors:	Lai, Lien-Fu;Wu, Chao-Chin;Huang, Liang-Tsung;Chang, Ya-Chin
Contributors:	資訊工程學系
Keywords:	Knowledge Engineering;Knowledge Management;Expert Systems;Design Patterns;Parallel Processing
Date:	2009-09
Issue Date:	2012-07-02T02:02:45Z
Publisher:	Springer
Abstract:	KMKE provides a knowledge engineering approach to integrating knowledge management activities (such as knowledge modeling, knowledge verification, knowledge storage and knowledge querying) into a systematic framework. In this paper, we develop the KMKE knowledge management system based on design patterns and parallel processing. First, several design patterns are applied to develop the KMKE system for enhancing its flexibility and extensibility. Making the KMKE system flexible and extensible is useful to deal with continuous changes originated in knowledge. Second, JAVA programs and CLIPS programs are bound to offer the capability of knowledge inference for the KMKE system. Knowledge verification and knowledge querying can then be performed through the execution of CLIPS rules. Finally, we propose the Parallel CLIPS to shorten the execution time of the KMKE system. Since a large amount of knowledge may increase the execution time substantially, parallelizing the execution of CLIPS rules in cluster system could effectively reduce the search space of the CLIPS inference engine.
Relation:	Lecture Notes in Computer Science (LNCS 5754): 928-938
Appears in Collections:	[Department and Graduate Institute of Computer Science and Information Engineering] Periodical Articles

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