mlsanityData to 7 Oct 2026

The DL-Lite Family and Relations

arXiv 1401.3487 ↗First posted 15 Jan 2014cs.LO cs.AIcited by 20

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Abstract (arXiv)

The recently introduced series of description logics under the common moniker DL-Lite has attracted attention of the description logic and semantic web communities due to the low computational complexity of inference, on the one hand, and the ability to represent conceptual modeling formalisms, on the other. The main aim of this article is to carry out a thorough and systematic investigation of inference in extensions of the original DL-Lite logics along five axes: by (i) adding the Boolean connectives and (ii) number restrictions to concept constructs, (iii) allowing role hierarchies, (iv) allowing role disjointness, symmetry, asymmetry, reflexivity, irreflexivity and transitivity constraints, and (v) adopting or dropping the unique same assumption. We analyze the combined complexity of satisfiability for the resulting logics, as well as the data complexity of instance checking and answering positive existential queries. Our approach is based on embedding DL-Lite logics in suitable fragments of the one-variable first-order logic, which provides useful insights into their properties and, in particular, computational behavior.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Jan 2014.

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Citing papers per year: 2021: 5; 2022: 2; 2023: 4; 2024: 2; 2025: 4; 2026: 3.

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  1. 2023Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databasescited by 35
  2. 2024Shapley Value Computation in Ontology-Mediated Query Answeringcited by 4
  3. 2022Frontiers and Exact Learning of ELI Queries under DL-Lite Ontologiescited by 3
  4. 2023PN-OWL: A Two Stage Algorithm to Learn Fuzzy Concept Inclusions from OWL Ontologiescited by 2
  5. 2024On the Power and Limitations of Examples for Description Logic Conceptscited by 2
  6. 2025Dealing with Inconsistency for Reasoning over Knowledge Graphs: A Surveycited by 2
  7. 2021On the Complexity of Learning Description Logic Ontologiescited by 1
  8. 2021Answering Fuzzy Queries over Fuzzy DL-Lite Ontologiescited by 1
  9. 2023A Framework for Combining Entity Resolution and Query Answering in Knowledge Basescited by 1
  10. 2025On Deciding the Data Complexity of Answering Linear Monadic Datalog Queries with LTL Operators(Extended Version)cited by 1
  11. 2021Extending Sticky-Datalog+/- via Finite-Position Selection Functions: Tractability, Algorithms, and Optimizationcited by 0
  12. 2021QDEF and Its Approximations in OBDMcited by 0
8 more
  1. 2021SMT-Based Safety Verification of Data-Aware Processes under Ontologies (Extended Version)cited by 0
  2. 2022Conservative Extensions for Existential Rulescited by 0
  3. 2023Unique Characterisability and Learnability of Temporal Queries Mediated by an Ontologycited by 0
  4. 2025Automated planning with ontologies under coherence update semantics (Extended Version)cited by 0
  5. 2025Analysing Temporal Reasoning in Description Logics Using Formal Grammarscited by 0
  6. 2026LLM-based Argument Mining meets Argumentation and Description Logics: a Unified Framework for Reasoning about Debatescited by 0
  7. 2026How Hard is it to Decide if a Fact is Relevant to a Query?cited by 0
  8. 2026BoxLitE: A Faithful Knowledge Base Embedding Based on Convex Optimizationcited by 0