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)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,117 | Processing Queries on Tree-Structured Data Efficiently | 2006 | PODS | 7.5407318e-05 |
| 3,909 | Chase Termination for Guarded Existential Rules | 2015 | PODS | 6.6375375e-05 |
| 6,601 | Teaching an RDBMS about ontological constraints | 2016 | VLDB | 4.9972581e-05 |
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