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.
CITATION STYLE
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
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