mlsanityData to 7 Oct 2026

Frontiers and Exact Learning of ELI Queries under DL-Lite Ontologies

arXiv 2204.14172 ↗First posted 29 Apr 2022cs.AIcited by 3

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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.

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6 of 44 references.

References · 6

  1. 2014The DL-Lite Family and Relationscited by 20
  2. 2018Efficient Concept Induction for Description Logicscited by 17
  3. 2013Ontology-based Data Access: A Study through Disjunctive Datalog, CSP, and MMSNPcited by 15
  4. 2021Learning Description Logic Ontologies. Five Approaches. Where Do They Stand?cited by 12
  5. 2017Exact Learning of Lightweight Description Logic Ontologiescited by 10
  6. 2020Conjunctive Queries: Unique Characterizations and Exact Learnabilitycited by 6

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3 papers.