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The Complexity of Ontology-Based Data Access with OWL 2 QL and Bounded Treewidth Queries

Summary: Nonrecursive-datalog rewritings for OWL 2 QL OMQs yield combined complexity LOGCFL (and NL for tree-shaped CQs with bounded leaves), so bounded-depth ontologies or bounded-treewidth/tree-shaped bounded-leaf CQs cause no complexity overhead. Negative results: answering OMQs is not FPT when parameterized by ontology depth or leaf-count; with a fixed infinite-depth ontology it is NP-complete for tree-shaped CQs and LOGCFL-complete for bounded-leaf CQs; rewritings are experimentally scalable. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1708
Venue
PODS
Year
2017
Pagerank
5.093636e-05
Overall Rank
11,967 | 17.90%
DOI
10.1145/3034786.3034791

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Authors

BibTeX Citation

@inproceedings{bienvenu_pods17,
        address = {New York, NY, USA},
        series = {{PODS} '17},
        title = {{The Complexity of Ontology-Based Data Access with OWL 2 QL and Bounded Treewidth Queries}},
        url = {https://dl.acm.org/doi/10.1145/3034786.3034791},
        doi = {10.1145/3034786.3034791},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Bienvenu, Meghyn and Kikot, Stanislav and Kontchakov, Roman and Podolskii, Vladimir V. and Ryzhikov, Vladislav and Zakharyaschev, Michael},
        year = {2017}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
4,107 Processing Queries on Tree-Structured Data Efficiently 2006 PODS 6.8973582e-05
4,353 Chase Termination for Guarded Existential Rules 2015 PODS 6.7490677e-05
6,623 Teaching an RDBMS about ontological constraints 2016 VLDB 5.8206367e-05
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