Scenarios for Description Logic Public
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Description logics form a family of knowledge representation languages for modeling ontologies. Model-finding is a technique for analyzing a first-order theory T by constructing and querying the models of T. This project develops a translation from description logic theories to first-order theories, enabling the use of the Razor model-finder. We provide an implementation of the translation algorithm, and a proof of correctness of the algorithm. As a case study, we explore a sample role-based access control policy formalized in description logic and show how to reason about using Razor.
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