Towards Efficient Axiom Pinpointing of EL+ Ontologies
M. Fareed Arif, Joao Marques-Silva

TL;DR
This paper introduces a novel, more efficient method for axiom pinpointing in EL+ ontologies by leveraging the relationship between minimal axiom sets and minimal unsatisfiable subformulas, significantly improving performance.
Contribution
It exploits the link between minimal axiom sets and minimal unsatisfiable subformulas, applying recent propositional logic advances to enhance axiom pinpointing efficiency in EL+ ontologies.
Findings
Algorithms are several orders of magnitude faster than previous methods.
The approach effectively identifies minimal axiom sets for unintended subsumption.
The method leverages propositional logic techniques for ontology debugging.
Abstract
The EL family of Description Logics (DLs) has been the subject of interest in recent years. On the one hand, these DLs are tractable, but fairly inexpressive. On the other hand, these DLs can be used for designing different classes of ontologies, most notably ontologies from the medical domain. Unfortunately, building ontologies is error-prone. As a result, inferable subsumption relations among concepts may be unintended. In recent years, the problem of axiom pinpointing has been studied with the purpose of providing minimal sets of axioms that explain unintended subsumption relations. For the concrete case of EL and EL+, the most efficient approaches consist of encoding the problem into propositional logic, specifically as a Horn formula, which is then analyzed with a dedicated algorithm. This paper builds on this earlier work, but exploits the important relationship between minimal…
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Taxonomy
TopicsSemantic Web and Ontologies · Biomedical Text Mining and Ontologies · Service-Oriented Architecture and Web Services
