Privacy-Preserving Reasoning with Hidden Knowledge on the Semantic Web

A poster presentation written by Vasant Honavar and Jie Bao. It was presented at the ESWC2007. It is about Trust, Concealable Reasoning and Hidden Knowledge

[edit] Abstract

Many applications on the semantic web call for controllable knowledge access due to copyright, privacy or security concerns. In such scenarios, ontologies may be only partially shared, while also be partially hidden from unauthorized usage. However, such partially hidden knowledge may still be needed in indirect inferences as long as privacy of the ontology is not violated. This paper investigates an approach to model and reason with hidden knowledge. Our framework enables the control of visible scope of knowledge in an ontology by Scope Limitation Modifiers (SLM). We outline the basic approach to preform \emph{concealable reasoning} process with partially hidden knowledge which is safe from unauthorized inference attack. History-safe concealable reasoning strategies for two representative ontology languages, partial-ordering and $\logic{SHIQ}$, are also provided.

This data has been imported from the ESWC2007 RDF