Scalable Prediction of Atomic Candidate OWL Class Axioms Using a Vector-Space Dimension Reduced Approach

Ali Ballout, CĂ©lia da Costa Pereira, Andrea G. B. Tettamanzi. Scalable Prediction of Atomic Candidate OWL Class Axioms Using a Vector-Space Dimension Reduced Approach. In Ana Paula Rocha 0001, Luc Steels, H. Jaap van den Herik, editors, Proceedings of the 16th International Conference on Agents and Artificial Intelligence, ICAART 2024, Volume 2, Rome, Italy, February 24-26, 2024. pages 347-357, SCITEPRESS, 2024. [doi]

Abstract

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