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Addendum to: Efficient Axiomatization of OWL 2 EL Ontologies from Data by means of Formal Concept Analysis

Name: Addendum to: Efficient Axiomatization of OWL 2 EL Ontologies from Data by means of Formal Concept Analysis
Creator: Kriegel, Francesco

descriptionPublicationkeyboard_double_arrow_right Other literature type 02 Apr 2024Publisher:Zenodo

Authors: Kriegel, Francesco;

doi: 10.5281/zenodo.10908142

Addendum to: Efficient Axiomatization of OWL 2 EL Ontologies from Data by means of Formal Concept Analysis

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This is an addendum to the following conference article and its accompanying technical report: Francesco Kriegel (2024). Efficient Axiomatization of OWL 2 EL Ontologies from Data by means of Formal Concept Analysis. In: Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence, AAAI 2024, Vancouver, Canada, February 20–27, 2024. pp. 10597–10606. DOI: 10.1609/aaai.v38i9.28930 Francesco Kriegel (2023). Efficient Axiomatization of OWL 2 EL Ontologies from Data by means of Formal Concept Analysis (Extended Version). LTCS-Report 23-01. Dresden, Germany: Chair of Automata Theory, Institute of Theoretical Computer Science, Technische Universität Dresden. DOI: 10.25368/2023.214

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Addendum to: Efficient Axiomatization of OWL 2 EL Ontologies from Data by means of Formal Concept Analysis

Addendum to: Efficient Axiomatization of OWL 2 EL Ontologies from Data by means of Formal Concept Analysis

3 Research products, page 1 of 1

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

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

Addendum to: Efficient Axiomatization of OWL 2 EL Ontologies from Data by means of Formal Concept Analysis