Ontology Approximation in Horn Description Logics

Anneke Bötcher, Carsten Lutz, Frank Wolter

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

Main track. Pages 1574-1580.

https://doi.org/10.24963/ijcai.2019/218

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Abstract

We study the approximation of a description logic (DL) ontology in a

less expressive DL, focusing 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.

Keywords

  • Knowledge Representation and Reasoning: Description Logics and Ontologies
  • Knowledge Representation and Reasoning: Knowledge Representation Languages
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