Frontiers and Exact Learning of ELI Queries under DL-Lite Ontologies
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Abstract (arXiv)
We study ELI queries (ELIQs) in the presence of ontologies formulated in the description logic DL-Lite. For the dialect DL-LiteH, we show that ELIQs have a frontier (set of least general generalizations) that is of polynomial size and can be computed in polynomial time. In the dialect DL-LiteF, in contrast, frontiers may be infinite. We identify a natural syntactic restriction that enables the same positive results as for DL-LiteH. We use out results on frontiers to show that ELIQs are learnable in polynomial time in the presence of a DL-LiteH / restricted DL-LiteF ontology in Angluin's framework of exact learning with only membership queries.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 6 of its 44 references that are in the map. First posted on arXiv 29 Apr 2022.
Builds on
6 of 44 references.
References · 6
- 2014The DL-Lite Family and Relationscited by 20
- 2018Efficient Concept Induction for Description Logicscited by 17
- 2013Ontology-based Data Access: A Study through Disjunctive Datalog, CSP, and MMSNPcited by 15
- 2021Learning Description Logic Ontologies. Five Approaches. Where Do They Stand?cited by 12
- 2017Exact Learning of Lightweight Description Logic Ontologiescited by 10
- 2020Conjunctive Queries: Unique Characterizations and Exact Learnabilitycited by 6
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Citing papers per year: 2023: 2; 2024: 1.
3 papers.