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Privacy-Preserving Reasoning on the Semantic Web


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Bao, Jie, Slutzki, Giora and Honavar, Vasant (2007) Privacy-Preserving Reasoning on the Semantic Web. Technical Report, Computer Science, Iowa State University.

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Abstract

Many semantic web applications require selective sharing of ontologies between autonomous entities due to copyright, privacy or security concerns. In such cases, an agent might want to hide a part of its ontology while sharing the rest. However, prohibiting any use of the hidden part of the ontology in answering queries from other agents may be overly restrictive. We provide a framework for privacypreserving reasoning in which an agent can safely answer queries against its knowledge base using inferences drawn based on both the hidden and visible part of the knowledge base, without revealing the hidden knowledge. We show an application of this framework in the widely used special case of hierarchical ontologies.

Subjects:Computing Methodologies: ARTIFICIAL INTELLIGENCE: Knowledge Representation Formalisms and Methods (F.4.1)
ID code:00000544
Deposited by:Jie Bao on 14 June 2007



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