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Poster communications

SEmantic Networks of Data: Utility and Privacy

Abstract : The amount of data produced by individuals and corporations has dramatically increased during the last decades. This generalized gathering of data brings opportunities but also new privacy challenges. Nowadays, data are often organized as graphs with an underlying semantic to allow efficient querying and support inference engines. Such is the case in, for example, linked data and semantic web typically relying on RDF. The SEmantic Networks of Data: Utility and Privacy (SEND UP) project focuses on such databases and will follow two main goals: (1) prevent illegitimate use of private data while querying semantic data graphs and (2) publish useful sensitive semantic data graphs while preserving privacy. Context and goals More and more private information collected: threatening privacy yet useful ⇒ needs for privacy guarantees and utility preservation.
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Contributor : Cédric Eichler Connect in order to contact the contributor
Submitted on : Friday, July 12, 2019 - 7:08:17 PM
Last modification on : Wednesday, March 16, 2022 - 3:54:17 AM


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  • HAL Id : hal-02182524, version 1


Cédric Eichler, Pascal Berthomé, Jacques Chabin, Rachid Echahed, Mirian Halfeld-Ferrari, et al.. SEmantic Networks of Data: Utility and Privacy. Atelier sur la Protection de la Vie Privée (APVP'19), Jul 2019, Cap Hornu, France. ⟨hal-02182524⟩



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