Linked Open Data refers to a set of best practices for the publication and interlinking of structured data on the Web in order to create a global interconnected data space called Web of Data. To ensure the resources featured in a dataset are richly described and, at the same time, protected against malicious users, we need to specify the conditions under which a dataset is accessible. Being able to specify access terms should also encourage data providers to publish their data. We introduce a lightweight vocabulary, called Social Semantic SPARQL Security for Access Control Ontology (S4AC), allowing the definition of fine-grained access control policies formalized in SPARQL, and enforced when querying Linked Data. In particular, we define an access control model providing the users with means to define policies for restricting the access to specific RDF data, based on social tags, and contextual information.
In the Social Web, the users are invited to publish a lot of personal information. These data 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 data. 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 vocabulary (S4AC). This vocabulary can be used by the users to define their own terms of access to the data. We define an algorithm, implemented in our Access Control Manager, which allows to check, after a client query, to which extent the data are available, depending on the user's profile. The evaluation of the access conditions is related to different features, such as the social tags associated with the data, and the user's contextual information, such as being part of a group, being located in a specific place. We provide an evaluation of the overhead introduced by our Access Control Manager, and we show that access control in the Social Semantic Web comes with a cost, but this is acceptable given the benefits of data protection.
International audienceThe ISICIL initiative (Information Semantic Integration through Communities of Intelligence onLine) mixes viral new web applications with formal semantic web representations and processes to integrate them into corporate practices for technological watch, business intelligence and scientific monitoring. The resulting open source platform proposes three functionalities: (1) a semantic social bookmarking platform monitored by semantic social network analysis tools, (2) a system for semantically enriching folksonomies and linking them to corporate terminologies and (3) semantically augmented user interfaces , activity monitoring and reporting tools for business intelligence
We present and evaluate a context-aware access control framework for SPARQL endpoints queried from mobile.
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