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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© 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
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