Ontology approximation in horn description logics

7Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

Abstract

We study the approximation of a description logic (DL) ontology in a less expressive DL, focussing on the case of Horn DLs. It is common to construct such approximations in an ad hoc way in practice and the resulting incompleteness is typically neither analyzed nor understood. In this paper, we show how to construct complete approximations. These are typically infinite or of excessive size and thus cannot be used directly in applications, but our results provide an important theoretical foundation that enables informed decisions when constructing incomplete approximations in practice.

Cite

CITATION STYLE

APA

Bötcher, A., Lutz, C., & Wolter, F. (2019). Ontology approximation in horn description logics. In IJCAI International Joint Conference on Artificial Intelligence (Vol. 2019-August, pp. 1574–1580). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2019/218

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free