OWL Reasoner

OWL reasoners are computational tools that infer implicit knowledge from explicitly represented ontologies, primarily using the Web Ontology Language (OWL). Current research focuses on improving their efficiency and applicability in diverse areas, such as ontology alignment (using techniques like knowledge graph embeddings), automated ontology generation (leveraging large language models), and supporting semantic interoperability in agent communication. These advancements are crucial for managing and reasoning with increasingly complex knowledge graphs, enabling applications ranging from improved data integration and knowledge discovery to enhanced safety systems and more effective AI.