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Model-based knowledge acquisition for heuristic classification systems

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Published:01 April 1989Publication History
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Abstract

We present a methodology and an implemented system, EAR*, for supporting knowledge acquisition. Its goal is to build an implementation-independent knowledge-level description of the target knowledge base, guided by our current understanding of the generic structure of heuristic classification systems.

References

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  1. Model-based knowledge acquisition for heuristic classification systems

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      cover image ACM SIGART Bulletin
      ACM SIGART Bulletin Just Accepted
      Special issue on knowledge acquisition
      April 1989
      205 pages
      ISSN:0163-5719
      DOI:10.1145/63266
      Issue’s Table of Contents

      Copyright © 1989 Authors

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 1 April 1989

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