A theory of diagnosis from first principles
Artificial Intelligence
The inference problem: a survey
ACM SIGKDD Explorations Newsletter
Privacy-Preserving Query Answering in Logic-based Information Systems
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Axiom Pinpointing in General Tableaux
Journal of Logic and Computation
Finding all justifications of OWL DL entailments
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
A generic approach for correcting access restrictions to a consequence
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
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Role-based access control is a standard mechanism in information systems. Based on the role a user has, certain information is kept from the user even if requested. For ontologies representing knowledge, deciding what can be told to a user without revealing secrets is more difficult as the user might be able to infer secret knowledge using logical reasoning. In this paper, we present two approaches to solving this problem: query rewriting vs. axiom filtering, and show that while both approaches prevent the unveiling of secret knowledge, axiom filtering is more complete in the sense that it does not suppress knowledge the user is allowed to see while this happens frequently in query rewriting. Axiom filtering requires that each axiom carries a label representing its access level. We present methods to find an optimal axiom labeling to enforce query-based access restrictions and report experiments on real world data showing that a significant number of results are retained using the axiom filtering method.