English

Learning Ontologies with Epistemic Reasoning: The EL Case

Artificial Intelligence 2019-02-12 v1 Machine Learning Logic in Computer Science

Abstract

We investigate the problem of learning description logic ontologies from entailments via queries, using epistemic reasoning. We introduce a new learning model consisting of epistemic membership and example queries and show that polynomial learnability in this model coincides with polynomial learnability in Angluin's exact learning model with membership and equivalence queries. We then instantiate our learning framework to EL and show some complexity results for an epistemic extension of EL where epistemic operators can be applied over the axioms. Finally, we transfer known results for EL ontologies and its fragments to our learning model based on epistemic reasoning.

Keywords

Cite

@article{arxiv.1902.03273,
  title  = {Learning Ontologies with Epistemic Reasoning: The EL Case},
  author = {Ana Ozaki and Nicolas Troquard},
  journal= {arXiv preprint arXiv:1902.03273},
  year   = {2019}
}

Comments

Technical report

R2 v1 2026-06-23T07:36:13.252Z