CQE in Description Logics Through Instance Indistinguishability (extended version)
April 24, 2020 Β· Declared Dead Β· π arXiv.org
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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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