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Model-based knowledge acquisition

  • Angi Voß
Conference paper
  • 128 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 474)

Abstract

There are two knowledge engineering traditions, rapid prototyping and conceptual modelling which can further be distinguished into universal and shell-based approaches. Underlying the two traditions are two different hypotheses explaining the knowledge acquisition bottleneck. Model-based approaches try to tackle it by searching for a set of basic, generic problem solving methods that can be combined and instantiated for various applications. KADS is introduced as a universal conceptual modelling approach and it is compared with three prominent shell-based ones. Summarizing, knowledge engineering will be compared to software engineering which will suggest to view knowledge acquisition as a workbench of methods and techniques that are special to the former.

The paper will close with the insights I gained on the workshop about the relevance of knowledge engineering for data base engineering, and vice versa.

Keywords

Software Engineering Rapid Prototype Knowledge Acquisition Knowledge Engineering Knowledge Source 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • Angi Voß
    • 1
  1. 1.Expert Systems Research Group GMDSankt Augustin

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