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KNACK: Sample-Driven Knowledge Acquisition for Reporting Systems

  • Georg Klinker
Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 57)

Abstract

KNACK is a specialized knowledge-acquisition tool that generates expert systems for reporting tasks. The tool derives its power from exploiting the presupposed acquire-and-present problem-solving method used by the expert systems it generates. The method incrementally acquires relevant information and produces a report. It can also be combined with other problem-solving methods. An important goal in the development of KNACK is to create a tool that elicits knowledge from domain experts without requiring knowledge-engineering skills on their part. To reach that goal, KNACK’s approach to knowledge acquisition uses existing AI techniques to derive a general description of how to acquire and present information from a specific sample description.

Keywords

Expert System Domain Model Reporting System Knowledge Acquisition Domain Expert 
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

© Kluwer Academic Publishers 1988

Authors and Affiliations

  • Georg Klinker

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