Access Control Enforcement for Selective Disclosure of Linked Data

  • Tarek Sayah
  • Emmanuel Coquery
  • Romuald ThionEmail author
  • Mohand-Saïd Hacid
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9871)


The Semantic Web technologies enable Web-scaled data linking between large RDF repositories. However, it happens that organizations cannot publish their whole datasets but only some subsets of them, due to ethical, legal or confidentiality considerations. Different user profiles may have access to different authorized subsets. In this case, selective disclosure appears as a promising incentive for linked data. In this paper, we show that modular, fine-grained and efficient selective disclosure can be achieved on top of existing RDF stores. We use a data-annotation approach to enforce access control policies. Our results are grounded on previously established formal results proposed in [14]. We present an implementation of our ideas and we show that our solution for selective disclosure scales, is independent of the user query language, and incurs reasonable overhead at runtime.


RDF Authorization Enforcement Linked Data 


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Tarek Sayah
    • 1
  • Emmanuel Coquery
    • 1
  • Romuald Thion
    • 1
    Email author
  • Mohand-Saïd Hacid
    • 1
  1. 1.Université de Lyon, CNRS, Université Lyon 1, LIRIS, UMR5205LyonFrance

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