Controlled Query Evaluation (CQE) is a methodology designed to maintain confidentiality by either rejecting specific queries or adjusting responses to safeguard sensitive information. In this investigation, our focus centers on CQE within Description Logic ontologies, aiming to ensure that queries are answered truthfully as long as possible before resorting to deceptive responses, a cooperativity property which is called the “longest honeymoon”. Our work introduces new semantics for CQE, denoted as MC-CQE, which enjoys the longest honeymoon property and outperforms previous methodologies in terms of cooperativity. We study the complexity of query answering in this new framework for ontologies expressed in the Description Logic DL-lite_R. Specifically, we establish data complexity results under different maximally cooperative semantics and for different classes of queries. Our results identify both tractable and intractable cases. In particular, we show that the evaluation of Boolean unions of conjunctive queries is the same under all the above semantics and its data complexity is in Image 1. This result makes query answering amenable to SQL query rewriting. However, this favorable property does not extend to open queries, even with a restricted query language limited to conjunctions of atoms. While, in general, answering open queries in the MC-CQE framework is intractable, we identify a sub-family of semantics under which answering full conjunctive queries is tractable.

Enhancing cooperativity in controlled query evaluation over ontologies / Bonatti, Piero; Cima, Gianluca; Lembo, Domenico; Magliocca, Francesco; Marconi, Lorenzo; Rosati, Riccardo; Sauro, Luigi; Savo, Domenico Fabio. - In: ARTIFICIAL INTELLIGENCE. - ISSN 0004-3702. - 348:(2025). [10.1016/j.artint.2025.104402]

Enhancing cooperativity in controlled query evaluation over ontologies

Bonatti, Piero;Magliocca, Francesco;Sauro, Luigi;
2025

Abstract

Controlled Query Evaluation (CQE) is a methodology designed to maintain confidentiality by either rejecting specific queries or adjusting responses to safeguard sensitive information. In this investigation, our focus centers on CQE within Description Logic ontologies, aiming to ensure that queries are answered truthfully as long as possible before resorting to deceptive responses, a cooperativity property which is called the “longest honeymoon”. Our work introduces new semantics for CQE, denoted as MC-CQE, which enjoys the longest honeymoon property and outperforms previous methodologies in terms of cooperativity. We study the complexity of query answering in this new framework for ontologies expressed in the Description Logic DL-lite_R. Specifically, we establish data complexity results under different maximally cooperative semantics and for different classes of queries. Our results identify both tractable and intractable cases. In particular, we show that the evaluation of Boolean unions of conjunctive queries is the same under all the above semantics and its data complexity is in Image 1. This result makes query answering amenable to SQL query rewriting. However, this favorable property does not extend to open queries, even with a restricted query language limited to conjunctions of atoms. While, in general, answering open queries in the MC-CQE framework is intractable, we identify a sub-family of semantics under which answering full conjunctive queries is tractable.
2025
Enhancing cooperativity in controlled query evaluation over ontologies / Bonatti, Piero; Cima, Gianluca; Lembo, Domenico; Magliocca, Francesco; Marconi, Lorenzo; Rosati, Riccardo; Sauro, Luigi; Savo, Domenico Fabio. - In: ARTIFICIAL INTELLIGENCE. - ISSN 0004-3702. - 348:(2025). [10.1016/j.artint.2025.104402]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/1010297
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