A Social Semantic Web Access Control Model

Serena Villata 1, 2 Nicolas Delaforge 1, 2, 3 Fabien Gandon 1, 2 Amelie Gyrard 1, 2
1 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : In the Social Web, the users are invited to publish a lot of personal information. These information can be easily retrieved, and sometimes reused, without providing the users with fine-grained access control mechanisms able to restrict the access to their profiles, and resources. In this paper, we present an access control model for the Social Semantic Web. Our model is grounded on the Social Semantic SPARQL Security for Access Control Ontology. This ontology can be used by the users to define, thanks to an Access Control Manager, their own terms of access to the data. Moreover, the Access Control Manager allows to check, after a query, to which extent the data is available, depending on the user's profile. The evaluation of the access conditions is related to di↵erent features, such as social tags, contextual information, being part of a group, and relationships with the data provider.
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Serena Villata, Nicolas Delaforge, Fabien Gandon, Amelie Gyrard. A Social Semantic Web Access Control Model. SDoW 2011 : 4th international workshop Social Data on the Web (SDoW2011), co-located with ISWC2011, Oct 2011, Bonn, Germany. 2013, 〈http://data.semanticweb.org/workshop/sdow/2011/html〉. 〈10.1007/s13740-012-0014-9〉. 〈hal-01170973〉

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