Efficient Axiomatization of OWL 2 EL Ontologies from Data by Means of Formal Concept Analysis
DOI:
https://doi.org/10.1609/aaai.v38i9.28930Keywords:
KRR: Description LogicsAbstract
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.Downloads
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
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Section
AAAI Technical Track on Knowledge Representation and Reasoning