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Cases as a basis for knowledge acquisition in the pre-formal phases of knowledge engineering

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GWAI-92: Advances in Artificial Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 671))

Abstract

Modelling and formalizing knowledge are fundamental issues of knowledge acquisition. We argue that this process must be documented. The media break in the knowledge acquisition process—occurring in the transition from the informal knowledge to a formalized knowledge base—is one reason for lacking documentation. The system UFA supports and documents knowledge modelling and formalization of case-based knowledge. The knowledge engineer formalizes a case starting with an informal case description and transforms it, step by step, into a formal one. The case descriptions are based on a domain independent case model that has five components: context, problem, solution trace, solution and evaluation of the solution. They are instantiated and refined as the formalization proceeds.

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Author information

Authors and Affiliations

  1. Department of Computer Science, The University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, Alberta, Canada

    Sonja Branskat

  2. AI Research Division, GMD, PO Box 1316, 5205, St. Augustin 1, Germany

    Marc Linster

Authors
  1. Sonja Branskat
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  2. Marc Linster
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Hans Jürgen Ohlbach

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© 1993 Springer-Verlag Berlin Heidelberg

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Branskat, S., Linster, M. (1993). Cases as a basis for knowledge acquisition in the pre-formal phases of knowledge engineering. In: Jürgen Ohlbach, H. (eds) GWAI-92: Advances in Artificial Intelligence. Lecture Notes in Computer Science, vol 671. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0018996

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  • DOI: https://doi.org/10.1007/BFb0018996

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56667-0

  • Online ISBN: 978-3-540-47626-9

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