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