Personal Linked Data: A Solution to Manage User's Privacy on the Web
Abstract
While using modern applications, personal digital data is spread over hundreds of servers all around the world and users have very poor control over these data. To tackle this issue, based on the semantic Web, we are developing a framework, named Privacy-Lookout, to allow people to be on the lookout for transgressions of their personal data privacy. Concretely, we propose to construct a personal linked data view of individuals to organize and semantically enrich the meta information of their personal data existing in the Web. The mean idea is to allow users to know if the information the Web posses about them respects their privacy principles. This paper introduces the first ideas of such approach.
Origin | Files produced by the author(s) |
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