Protect Your RDF Data!
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Date
2012Author
Kirrane, Sabrina
Lopes, Nuno
Mileo, Alessandra
Decker, Stefan
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Kirrane, Sabrina; Lopes, Nuno; Mileo, Alessandra; Decker, Stefan (2012) Protect Your RDF Data! Joint International Semantic Technology Conference (JIST)
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Abstract
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.
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Conference paper