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 …

The work in this paper is motivated by a privacy scenario in which the identity of certain
persons (represented as anonymous individuals) should be hidden. We assume that factual …

This work is initially motivated by a privacy scenario in which the confidential information
about persons or its properties formulated in description logic (DL) ontologies should be …

Individual privacy is a major and largely unexplored concern when publishing new datasets
in the context of Linked Open Data (LOD). The LOD cloud forms a network of interconnected …

We present an extension of the popular probabilistic model checker Prism with multi-actions
that enables the modeling of complex coordination between stochastic components in an …

A Declarative Approach to Linked Data Anonymization Page 1 A Declarative Approach to
Linked Data Anonymization Companion appendix Remy Delanaux1, Angela Bonifati1 …

Data sharing over the internet through smart devices is susceptible to disclose sensitive
information of data producers. To protect the privacy of data producers, we propose a …