Learn More
We 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 standard 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(More)
To 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(More)
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(More)
The Mobile Web is evolving fast and mobile access to the Web of Data is gaining momentum. Interlinked RDF resources consumed from portable devices need proper adaptation to the context in which the action is performed. This paper introduces PRISSMA (Presentation of Resources for Interoperable Semantic and Shareable Mobile Adaptability), a domain-independent(More)
Access control is a recognized open issue when interacting with RDF using HTTP methods. In literature, authentication and authorization mechanisms either introduce undesired complexity such as SPARQL and ad-hoc policy languages, or rely on basic access control lists, thus resulting in limited policy expressiveness. In this paper we show how the Shi3ld(More)
We present PRISSMA, a context-aware presentation layer for Linked Data. PRISSMA extends the Fresnel vocabulary with the notion of mobile context. Besides, it includes an algorithm that determines whether the sensed context is compatible with some context declarations. The algorithm finds optimal error-tolerant subgraph isomorphisms between RDF graphs using(More)
In this paper we describe Conference Live, a semantic Web application to browse conference data. Conference Live is a Web and mobile application based on conference data from the Semantic Web Dog Food server, which provides facilities to browse papers and authors at a specific conference. Available data for the specific conference is enriched with social(More)
This paper describes the algorithms developed to identify the actions of a community of users. Actions are detected through the processing of raw context data acquired from the users' smartphones or PDAs by our context awareness platform. Data mining techniques, and in particular cluster analysis, allow us to discover high level information, like the(More)
User-generated services (UGSs) are the next step in the user-generated content (UGC) trend. UGSs let end users create their own personalized services using simple graphical tools, such as Microsoft Popfly or Yahoo Pipes. This work aims to design a system to automate the requirement identification and service discovery task for UGSs. The system will analyze(More)