Ontology learning towards expressiveness: A survey
Pauline Armary, Cheikh Brahim El Vaigh, Ouassila Labbani Narsis, Christophe Nicolle · Computer Science Review · 2024
Ontology learning , particularly axiom learning, is a challenging task that focuses on building expressive and decidable ontologies. The literature proposes several research efforts aimed to resolve the complexities inherent in axiom and rule learning , which seeks to automatically infer logical constructs from diverse data sources . The goal of this paper is to conduct a comprehensive review of existing work in this domain. It aims to critically analyze the contributions and limitations of current approaches, providing a clear understanding of the state-of-the-art and identifying areas where further research is needed.