Query-based Linked Data Anonymization - Archive ouverte HAL Access content directly
Conference Papers Year : 2018

Query-based Linked Data Anonymization


We introduce and develop a declarative framework for privacy-preserving Linked Data publishing in which privacy and utility policies are specified as SPARQL queries. Our approach is data-independent and leads to inspect only the privacy and utility policies in order to determine the sequence of anonymization operations applicable to any graph instance for satisfying the policies. We prove the soundness of our algorithms and gauge their performance through experiments.
Fichier principal
Vignette du fichier
paper.pdf (350.29 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01896276 , version 1 (16-10-2018)



Rémy Delanaux, Angela Bonifati, Marie-Christine Rousset, Romuald Thion. Query-based Linked Data Anonymization. The 17th International Semantic Web Conference (ISWC 2018), Oct 2018, Monterey, United States. pp.530-546, ⟨10.1007/978-3-030-00671-6_31⟩. ⟨hal-01896276⟩
398 View
721 Download



Gmail Facebook Twitter LinkedIn More