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Title: Knowledge modelling for a generic refinement framework
Authors: Boswell, Robin
Craw, Susan
Keywords: Knowledge refinement
Knowledge representation
Knowledge acquisition
Issue Date: Oct-1999
Publisher: Elsevier
Citation: BOSWELL, R. and CRAW, S., 1999. Knowledge modelling for a generic refinement framework. Knowledge Based Systems, 12 (5-6), pp. 317-325
Abstract: Refinement tools assist with debugging the knowledge-based system (KBS), thus easing the well-known knowledge acquisition bottleneck, and the more recently recognised maintenance overhead. The existing refinement tools were developed for specific rule-based KBS environments, and have usually been applied to artificial or academic applications. Hence, there is a need for tools which are applicable to industrial applications. However, it would be wasteful to develop separate refinement tools for individual shells; instead, the KWorks project is developing reusable components applicable to a variety of KBS environments. This paper develops a knowledge representation that embodies a KBS's rulebase and its reasoning, and permits the implementation of core refinement procedures, which are generally applicable and can ignore KBS-specific details. Such a representation is an essential stage in the construction of a generic automated knowledge refinement framework, such as KWorks. Experience from applying this approach to C, PM and P KBSs indicates its feasibility for a wider variety of industrial KBSs.
ISSN: 0950-7051
Appears in Collections:Journal articles (Computing)

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