English

Large-scale Ontological Reasoning via Datalog

Artificial Intelligence 2020-03-24 v1

Abstract

Reasoning over OWL 2 is a very expensive task in general, and therefore the W3C identified tractable profiles exhibiting good computational properties. Ontological reasoning for many fragments of OWL 2 can be reduced to the evaluation of Datalog queries. This paper surveys some of these compilations, and in particular the one addressing queries over Horn-SHIQ\mathcal{SHIQ} knowledge bases and its implementation in DLV2 enanched by a new version of the Magic Sets algorithm.

Keywords

Cite

@article{arxiv.2003.09698,
  title  = {Large-scale Ontological Reasoning via Datalog},
  author = {Mario Alviano and Marco Manna},
  journal= {arXiv preprint arXiv:2003.09698},
  year   = {2020}
}

Comments

15 pages, 2 tables, 1 figure, 2 algorithms, under review for the book Studies on the Semantic Web Series

R2 v1 2026-06-23T14:22:36.172Z