CQE in Description Logics Through Instance Indistinguishability (extended version)

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Authors Gianluca Cima, Domenico Lembo, Riccardo Rosati, Domenico Fabio Savo arXiv ID 2004.11870 Category cs.AI: Artificial Intelligence Cross-listed cs.DB Citations 1 Venue arXiv.org Last Checked 4 months ago
Abstract
We study privacy-preserving query answering in Description Logics (DLs). Specifically, we consider the approach of controlled query evaluation (CQE) based on the notion of instance indistinguishability. We derive data complexity results for query answering over DL-Lite$_{\mathcal{R}}$ ontologies, through a comparison with an alternative, existing confidentiality-preserving approach to CQE. Finally, we identify a semantically well-founded notion of approximated query answering for CQE, and prove that, for DL-Lite$_{\mathcal{R}}$ ontologies, this form of CQE is tractable with respect to data complexity and is first-order rewritable, i.e., it is always reducible to the evaluation of a first-order query over the data instance.
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