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International Conference on Intelligent Computing

ICIC 2009: Emerging Intelligent Computing Technology and Applications pp 928–938Cite as

Developing the KMKE Knowledge Management System Based on Design Patterns and Parallel Processing

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5754))

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.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Changhua University of Education, Taiwan

    Lien-Fu Lai, Chao-Chin Wu & Ya-Chin Chang

  2. Department of Information Communication, MingDao University, Taiwan

    Liang-Tsung Huang

Authors
  1. Lien-Fu Lai
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  2. Chao-Chin Wu
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  3. Liang-Tsung Huang
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  4. Ya-Chin Chang
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Editor information

Editors and Affiliations

  1. Institute of Intelligent Machines, Chinese Academy of Sciences, China

    De-Shuang Huang

  2. Graduate School of Electrical Engineering, University of Ulsan, Korea, San 29, Mugeo-Dong, Nam-Ku, 680 - 749, Ulsan, Korea

    Kang-Hyun Jo

  3. School of Electrical Engineering, University of Ulsan, Ulsan, South Korea

    Hong-Hee Lee

  4. School of Electrical Engineering, University of Ulsan, South Korea

    Hee-Jun Kang

  5. e.B.I.S. s.r.l. (electronic Business in Security), Spin-Off of Polytechnic of Bari, Str. Prov. per Casamassima Km., 3-70010, Valenzano, (BA), Italy

    Vitoantonio Bevilacqua

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© 2009 Springer-Verlag Berlin Heidelberg

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Lai, LF., Wu, CC., Huang, LT., Chang, YC. (2009). Developing the KMKE Knowledge Management System Based on Design Patterns and Parallel Processing. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2009. Lecture Notes in Computer Science, vol 5754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04070-2_98

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  • DOI: https://doi.org/10.1007/978-3-642-04070-2_98

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04069-6

  • Online ISBN: 978-3-642-04070-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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