Integrating Ontological Constraints into Deep Learning Models for Improved Consistency in Ontology Classification

Incorporating ontological constraints, such as subsumption and disjointness relations, into the training of deep learning models can significantly improve the logical consistency of their predictions without substantially compromising classification performance.