On the Power and Limitations of Examples for Description Logic Concepts
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Abstract (arXiv)
Labeled examples (i.e., positive and negative examples) are an attractive medium for communicating complex concepts. They are useful for deriving concept expressions (such as in concept learning, interactive concept specification, and concept refinement) as well as for illustrating concept expressions to a user or domain expert. We investigate the power of labeled examples for describing description-logic concepts. Specifically, we systematically study the existence and efficient computability of finite characterisations, i.e. finite sets of labeled examples that uniquely characterize a single concept, for a wide variety of description logics between EL and ALCQI, both without an ontology and in the presence of a DL-Lite ontology. Finite characterisations are relevant for debugging purposes, and their existence is a necessary condition for exact learnability with membership queries.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 6 of its 33 references that are in the map. First posted on arXiv 23 Dec 2024.
Builds on
6 of 33 references.
References · 6
- 2014The DL-Lite Family and Relationscited by 20
- 2021Learning Description Logic Ontologies. Five Approaches. Where Do They Stand?cited by 12
- 2020Conjunctive Queries: Unique Characterizations and Exact Learnabilitycited by 6
- 2022Frontiers and Exact Learning of ELI Queries under DL-Lite Ontologiescited by 3
- 2022Unique Characterisability and Learnability of Temporal Instance Queriescited by 3
- 2022Characterising Modal Formulas with Examplescited by 1
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Citing papers per year: 2026: 2.
2 papers.
- 2026Shapes from Examples: Foundations of Shape Learning in Recursive SHACL30 Jul 2026
- 2026Model Change for Description Logic Concepts5 Mar 2026