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<p>The general architecture and an implementation of a classification-based production system (CLASP) are presented. The main objective is to extend the benefits of classification capabilities in frame systems to the developers of rule-based systems. Two major processes of CLASP, a semantic pattern matcher and a pattern classifier, are described. The semantic pattern matcher extends the pattern matching capabilities of rule-based systems through the use of terminological knowledge. The pattern classifier enables the system to compute a rule's specificity, which is useful for conflict resolution, based on the semantics of its left-hand side. The paradigm not only enhances the reasoning capabilities of rule-based systems, but also helps to reduce the cost of maintaining such systems because definitional knowledge is explicitly represented in a form that facilitates sharing and minimizes duplication of effort.</p>
CLASP; term subsumption systems; production systems; classification-based production system; frame systems; rule-based systems; semantic pattern matcher; pattern classifier; terminological knowledge; reasoning; expert systems; knowledge representation

J. Yen, R. MacGregor and R. Neches, "CLASP: Integrating Term Subsumption Systems and Production Systems," in IEEE Transactions on Knowledge & Data Engineering, vol. 3, no. , pp. 25-32, 1991.
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