The Data Complexity of Ontology-Mediated Queries with Closed Predicates
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Abstract (arXiv)
In the context of ontology-mediated querying with description logics (DLs), we study the data complexity of queries in which selected predicates can be closed (OMQCs). We provide a non-uniform analysis, aiming at a classification of the complexity into tractable and non-tractable for ontologies in the lightweight DLs DL-Lite and EL, and the expressive DL ALCHI. At the level of ontologies, we prove a dichotomy between FO-rewritable and coNP-complete for DL-Lite and between PTime and coNP-complete for EL. The meta problem of deciding tractability is proved to be in PTime. At the level of OMQCs, we show that there is no dichotomy (unless NP equals PTime) if both concept and role names can be closed. If only concept names can be closed, we tightly link the complexity of query evaluation to the complexity of surjective CSPs. We also identify a class of OMQCs based on ontologies formulated in DL-Lite that are guaranteed to be tractable and even FO-rewritable.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Sep 2018.
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Citing papers per year: 2023: 1; 2024: 3; 2025: 1.
5 papers.
- 2024Shapley Value Computation in Ontology-Mediated Query Answeringcited by 4
- 2023Querying Circumscribed Description Logic Knowledge Basescited by 2
- 2024Adding Circumscription to Decidable Fragments of First-Order Logic: A Complexity Rollercoastercited by 1
- 2024Consistent Query Answering for Existential Rules with Closed Predicatescited by 0
- 2025Interpolation in Knowledge Representationcited by 0
- 2025Interpolation in Knowledge Representation9 Dec 2025
- 2024Adding Circumscription to Decidable Fragments of First-Order Logic: A Complexity Rollercoaster30 Jul 2024
- 2024Shapley Value Computation in Ontology-Mediated Query Answering29 Jul 2024
- 2024Consistent Query Answering for Existential Rules with Closed Predicates11 Jan 2024
- 2023Querying Circumscribed Description Logic Knowledge Bases7 Jun 2023