mlsanityData to 7 Oct 2026

Evonne: Interactive Proof Visualization for Description Logics (System Description) -- Extended Version

arXiv 2205.09583 ↗First posted 19 May 2022cs.LO cs.AIcited by 2

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Abstract (arXiv)

Explanations for description logic (DL) entailments provide important support for the maintenance of large ontologies. The "justifications" usually employed for this purpose in ontology editors pinpoint the parts of the ontology responsible for a given entailment. Proofs for entailments make the intermediate reasoning steps explicit, and thus explain how a consequence can actually be derived. We present an interactive system for exploring description logic proofs, called Evonne, which visualizes proofs of consequences for ontologies written in expressive DLs. We describe the methods used for computing those proofs, together with a feature called signature-based proof condensation. Moreover, we evaluate the quality of generated proofs using real ontologies.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 2 of its 27 references that are in the map. First posted on arXiv 19 May 2022.

Builds on

2 of 27 references.

References · 2

  1. 2020Finding Small Proofs for Description Logic Entailments: Theory and Practice (Extended Technical Report)cited by 7
  2. 2021Finding Good Proofs for Description Logic Entailments Using Recursive Quality Measures (Extended Technical Report)cited by 7

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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 0; 2026: 1.

2 papers.

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  3. 2026Rethinking Explanations: Formalizing Contrast in Description Logics
  4. 2022The Completeness of Reasoning Algorithms for Clause Sets in Description Logic ALC ↗
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  6. 2024VEL: A Formally Verified Reasoner for OWL2 EL Profile
  7. 2026NeurOWL: An LLM-Based Neural-symbolic Framework for Incomplete OWL Ontology Reasoning
  8. 2026Theorem-Grounded Execution Ontologies for Interpretable Machine Reasoning