The role of frame-based representation in reasoning
Communications of the ACM
Enhanced Maintenance and Explanation of Expert Systems Through Explicit Models of Their Development
IEEE Transactions on Software Engineering - Special issue on artificial intelligence and software engineering
Proceedings of the Twenty-First Annual Hawaii International Conference on Decision Support and Knowledge Based Systems Track
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Representation of medical guidelines using a classification-based system
CIKM '94 Proceedings of the third international conference on Information and knowledge management
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IEEE Transactions on Knowledge and Data Engineering
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IEEE Expert: Intelligent Systems and Their Applications
An Authoring Tool for Intelligent Educational Games
ICVS '01 Proceedings of the International Conference on Virtual Storytelling: Using Virtual Reality Technologies for Storytelling
The description logic handbook
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COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
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IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
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WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
On the decidability and complexity of integrating ontologies and rules
Web Semantics: Science, Services and Agents on the World Wide Web
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Journal of the ACM (JACM)
Computation for metaphors, analogy, and agents
Semantic web reasoners and languages
Artificial Intelligence Review
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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.