Hiding Generalized Association Rules in RDF Databases

One of the important usage of RDF documents is storing semi-structured and structured data for web information systems. But large repositories of data on the web may contain sensitive information that must be protected against unauthorized access. A possible problem, and still not investigated in this documents, is need to balance confidentiality of disclosed data with legitimate needs of the data users in RDF datasets that are commonly used on the web. In this paper, we present a Generalized Association Rule Hiding (GARH) algorithm, for hidinggeneralized associations from RDF metadata and evaluate the performance of the algorithm.