Proceedings

Polynomial Datalog Rewritings for Expressive Description Logics with Closed Predicates

Download BibTeX Cite

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 878-884.

Abstract

We consider instance queries mediated by an ontology expressed in the expressive DL ALCHIO with closed predicates. We observe that such queries are nonmonotonic and cannot be expressed in monotonic variants of Datalog, but a polynomial time translation into disjunctive Datalog extended with negation as failure is feasible. If no closed predicates are present — in the case of classical instance checking in ALCHIO — our translation yields a positive disjunctive Datalog program of polynomial size. To the best of our knowledge, this is the first polynomial time translation of an expressive (non-Horn) DL into disjunctive Datalog.

Shqiponja Ahmetaj, Magdalena Ortiz, and Mantas Simkus. 2016. Polynomial Datalog Rewritings for Expressive Description Logics with Closed Predicates. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16. IJCAI, 878–884. https://ijcai.org/proceedings/2016/129
Welcome Future Conferences AI Journal Division IJCAI Proceedings About IJCAI IJCAI Awards