47 research outputs found

    Context-Aware Access Control for RDF Graph Stores

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    International audienceWe present SHI3LD, an access control framework for RDF stores. Our solution supports access from mobile devices with context-aware policies and is exclusively grounded on stan- dard Semantic Web languages. Designed as a pluggable filter for generic SPARQL endpoints, the module uses RDF named graphs and SPARQL to protect triples. Evaluation shows faster execution time for low-selective queries and less impact on larger datastores

    SHI3LD: an Access Control Framework for the Mobile Web of Data

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    International audienceWe present Shi3ld, a context-aware access control framework for consuming the Web of Data from mobile devices

    SHI3LD: an Access Control Framework for the Mobile Web of Data

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    International audienceWe present Shi3ld, a context-aware access control framework for consuming the Web of Data from mobile devices

    Ubiquitous Access Control for SPARQL Endpoints: Lessons Learned and Future Challenges

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    International audienceWe present and evaluate a context-aware access control framework for SPARQL endpoints queried from mobile

    Linked Data Access Goes Mobile: Context-Aware Authorization for Graph Stores

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    International audienceTo encourage data providers to publish a maximum of data on the Web, we propose a mechanism to define lightweight access control policies for graph stores. Influenced by the steep growth of the mobile web, our Linked Data access control framework features context-aware control policies. The proposed framework is exclusively grounded on standard Semantic Web languages. The framework architecture is designed as a pluggable filter for generic SPARQL endpoints, and it has been evaluated on a test dataset

    Social Semantic Network-Based Access Control

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    International audienceSocial networks are the basis of the so called Web 2.0, raising many new challenges to the research community. In particular, the ability of these networks to allow the users to share their own personal information with other people opens new issues concerning privacy and access control. Nowadays the Web has further evolved into the Social Semantic Web where social networks are integrated and enhanced by the use of semantic conceptual models, e.g., the ontologies, where the social information and links among the users become semantic information and links. In this paper, we discuss which are the benefits of introducing semantics in social network-based access control. In particular, we analyze and detail two approaches to manage the access rights of the social network users relying on Semantic Web languages only, and we highlight, thanks to these two proposals, what are pros and cons of introducing semantics in social networks access control. Finally, we report on the other existing approaches coupling semantics and access control in the context of social networks
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