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1 March 1992 Knowledge acquisition and refinement with end-user knowledge manipulation systems
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Automative tools and systems for knowledge acquisition and refinement are primarily designed to relieve the well-attested burdens of knowledge engineers. The knowledge acquisition process may benefit from greater participation by the domain expert. A survey of automative knowledge acquisition tools and systems provides a context for end-user knowledge manipulation systems (EUKMS). Software support for knowledge acquisition achieved by EUKMS is presented. If given a pre-defined domain model, the implementation of elegant graphical user interfaces to knowledge-bases, a technique for the automatic conversion of a user's rules into code, plus browsing and editing facilities to modify the rules, represent a significant advance in the development of systems which enable a non-programming knowledge-worker to create and refine rules, without the mediation of knowledge engineers. A key element of EUKMS is knowledge representation at the interface; knowledge is externally represented to the knowledge-worker using domain familiar abstractions, language, and objects, which map to an internal, machine representation of knowledge, concealed from the user. An application of the approach in the creation of a system for the interpretation of speech spectrograms is discussed. The outcome of this application suggests that EUKMS are achievable and have an interesting role in knowledge acquisition for complex domains.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stella M. O'Brien, Linda Candy, Ernest A. Edmonds, and Trevor J. Foster "Knowledge acquisition and refinement with end-user knowledge manipulation systems", Proc. SPIE 1707, Applications of Artificial Intelligence X: Knowledge-Based Systems, (1 March 1992);

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