Ontology Revision

Ontology revision focuses on improving the quality and consistency of ontologies, crucial knowledge representations used in various applications. Current research emphasizes automated methods for repairing inconsistencies, incorporating new information, and adapting ontologies to better reflect underlying data, often employing techniques like ontology matching, axiom weakening and completion, and pre-trained language models to score and rank axioms for revision. These advancements aim to improve the efficiency and scalability of ontology management, leading to more robust and reliable knowledge graphs for applications ranging from industrial analytics to semantic web technologies.