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Using XML for Implementing Set of Experience Knowledge Structure

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

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

Abstract

Among all knowledge forms, storing formal decision events in a knowledge-explicit way becomes an important development. Set of experience knowledge structure can help in achieving this purpose. Set of experience has been shown as a shape able to acquire explicit knowledge of formal decision events. However, to make set of experience knowledge structure practical, it must be worldwide transportable and understandable. The purpose of this paper is to show an effective form of transformation of the set of experience into a shareable and understandable shape able to travel among different systems and technologies.

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Author information

Authors and Affiliations

  1. Faculty of Engineering and Built Environment, University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia

    Cesar Sanin & Edward Szczerbicki

Authors
  1. Cesar Sanin
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  2. Edward Szczerbicki
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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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Sanin, C., Szczerbicki, E. (2005). Using XML for Implementing Set of Experience Knowledge Structure. 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_135

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  • DOI: https://doi.org/10.1007/11552413_135

  • 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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