Efficient Axiomatization of OWL 2 EL Ontologies from Data by Means of Formal Concept Analysis

Authors

  • Francesco Kriegel Technische Universität Dresden

DOI:

https://doi.org/10.1609/aaai.v38i9.28930

Keywords:

KRR: Description Logics

Abstract

We present an FCA-based axiomatization method that produces a complete OWL 2 EL TBox (the terminological part of an OWL 2 EL ontology) from a graph dataset in at most exponential time. We describe technical details that allow for efficient implementation as well as variations that dispense with the computation of extremely large axioms, thereby rendering the approach applicable albeit some completeness is lost. Moreover, we evaluate the prototype on real-world datasets.

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Published

2024-03-24

How to Cite

Kriegel, F. (2024). Efficient Axiomatization of OWL 2 EL Ontologies from Data by Means of Formal Concept Analysis. Proceedings of the AAAI Conference on Artificial Intelligence, 38(9), 10597-10606. https://doi.org/10.1609/aaai.v38i9.28930

Issue

Section

AAAI Technical Track on Knowledge Representation and Reasoning