The Role of Machine Learning in Knowledge Acquisition

  • Kai Zercher
  • Bernd Radig
Conference paper


Acquiring the knowledge for a knowledge-based system has proven to be a difficult task. Machine learning techniques are one possible approach to tackle this problem. Three case studies are described which show that machine learning techniques can produce superior results than more traditional knowledge acquisition techniques. Finally, some conclusion drawn from these examples are presented.


Knowledge Acquisition Machine Learning Technique Domain Theory Inductive Learning Repertory Grid 
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 1990

Authors and Affiliations

  • Kai Zercher
    • 1
    • 2
  • Bernd Radig
    • 1
  1. 1.Institut für InformatikTU MünchenMünchen 80Germany
  2. 2.ZFE IS INF 32Siemens AGMünchen 83Germany

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