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Hybrid Knowledge Acquisition

  • Conference paper
GWAI-86 und 2. Österreichische Artificial-Intelligence-Tagung

Part of the book series: Informatik-Fachberichte ((2252,volume 124))

Abstract

A model for an automatic knowledge acquisition tool for expert systems is presented. The model combines knowledge engineering and cognitive science methods to construct knowledge bases employing several knowledge representation languages. For the elicitation of declarative knowledge the tool contains automated interview methods and content analysis. The acquisition of procedural knowledge is achieved by protocol analysis techniques. The goal structure of the elicitation methods is an intermediate knowledge representation language on which frame and rule generators operate to build up the final knowledge bases. Pattern directed invocation methods are used for consistency checks on different levels of the knowledge acquisition process.

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References

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Author information

Authors and Affiliations

  1. Forschungsgruppe Expertensysteme Institut für Angewandte Informationstechnik, Gesellschaft für Mathematik und Datenverarbeitung mbH, Schloß Birlinghoven, Postfach 1240, 5205, Sankt Augustin 1, USA

    Joachim Diederich, Mark May & Ingo Ruhetann

Authors
  1. Joachim Diederich
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  2. Mark May
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  3. Ingo Ruhetann
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Editor information

Editors and Affiliations

  1. IBM Deutschland GmbH, Abt. LILOG 3504, Postfach 800880, D-7000, Stuttgart 80, Germany

    Claus-Rainer Rollinger

  2. Institut für Medizinische Kybernetik und Artificial Intelligence, Universität Wien, Freyung 6, A-1010, Wien, Austria

    Werner Horn

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© 1986 Springer-Verlag Berlin Heidelberg

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Diederich, J., May, M., Ruhetann, I. (1986). Hybrid Knowledge Acquisition. In: Rollinger, CR., Horn, W. (eds) GWAI-86 und 2. Österreichische Artificial-Intelligence-Tagung. Informatik-Fachberichte, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-71385-9_34

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  • DOI: https://doi.org/10.1007/978-3-642-71385-9_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-16808-9

  • Online ISBN: 978-3-642-71385-9

  • eBook Packages: Springer Book Archive

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