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A Matrix Representation and Mapping Approach to Knowledge Acquisition for Product Design

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Book cover Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3681))

Abstract

In constructing a knowledge-based system, knowledge acquisition plays a critical role. It is the most time-consuming phase and has been recognized as the bottleneck in the development of a knowledge-based system. This paper describes a matrix representation and mapping (MRM) approach to facilitate the knowledge acquisition process in building the knowledge bases. The MRM approach involves six consecutive steps: knowledge sources identification, taxonomic tree generation, identification of linkages between conditions and conclusions sets, generation of sub-clauses to form IF and THEN clauses, identification of logical interrelationship among sub-clauses and rule generation. The proposed approach has established an integral and complete process for knowledge acquisition.

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Author information

Authors and Affiliations

  1. School of Mechanical & Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore

    Zhiming Rao & Chun-Hsien Chen

Authors
  1. Zhiming Rao
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  2. Chun-Hsien Chen
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Rao, Z., Chen, CH. (2005). A Matrix Representation and Mapping Approach to Knowledge Acquisition for Product Design. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_45

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  • DOI: https://doi.org/10.1007/11552413_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28894-7

  • Online ISBN: 978-3-540-31983-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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