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The objective of this roadmap is to summarise the state-of-the-art and to identify critical challenges for privacy in Linked Data. Our research particularly focuses on examining how the problem of data deanonymisation fits within the context of Linked Data. This draws attention to the fact that publishing data and linking them with other data (to achieve the Data Web vision) is also a significant...
E-marketplaces on the worldwide Web are information and transaction silos, which in the general case don't allow transactions across their boundaries. The consequence is that the Web, often termed the global marketplace, is fragmented along the dimensions of geography, content domain, supply or demand, user base, and many more. This fragmentation makes it inefficient to buy and sell commodities on...
This paper presents a context-aware and decentralized identity platform, which in turn can be used to create social networks or collaboration platforms. Its originality lies in providing an increased privacy and control over a user's online identity, user group management, resource ownership and content sharing. This paper addresses the shortcomings of current identity and resource management systems,...
We describe a framework designed to facilitate privacy auditing while accommodating a variety of privacy scenarios and policies that involve multiple participants. Our proposal is based on two ontologies, L2TAP and SCIP, designed for deployment in a Linked Data environment. L2TAP provides provenance enabled logging of events. SCIP synthesizes contextual integrity concepts and enables query based solutions...
As open data formats are becoming popular amongst Web developers, this gives rise to an increase in the creation and consumption of structured data. Data creators are easily linking diverse datasets which is creating a graph of interlinked data called the Web of Data. This increase in linked structured data demands mechanisms to ensure that access is controlled and granted to only those who are eligible...
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