Protect Your RDF Data!
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Kirrane, Sabrina; Lopes, Nuno; Mileo, Alessandra; Decker, Stefan (2012) Protect Your RDF Data! Joint International Semantic Technology Conference (JIST)
The explosion of digital content and the heterogeneity of enterprise content sources have pushed existing data integration solutions to their boundaries. Although RDF can be used as a representation format for integrated data, enterprises have been slow to adopt this technology. One of the primary inhibitors to its widespread adoption in industry is the lack of fine grained access control enforcement mechanisms available for RDF. In this paper, we provide a summary of access control requirements based on our analysis of existing access control models and enforcement mechanisms. We subsequently: (i) propose a set of access control rules that can be used to provide support for these models over RDF data; (ii) detail a framework that enforces access control restrictions over RDF data; and (iii) evaluate our implementation of the framework over real-world enterprise data.