Verification and Validation of Knowledge-Based Systems
IEEE Transactions on Knowledge and Data Engineering
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RuleML '08 Proceedings of the International Symposium on Rule Representation, Interchange and Reasoning on the Web
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ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
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Quality and reliability issues are important in development and exploration of rule-based systems. In the paper a formalized knowledge representation for rules called XTT2 is considered. It is a rule language based on an expressive attribute logic called ALSV(FD). A custom runtime and verification framework for XTT2 called HalVA is proposed. It allows for verification of certain formal properties of rules, including determinism, subsumption or completeness.