Ontology Quality

Ontology quality focuses on ensuring the accuracy, consistency, and usability of ontologies—formal representations of knowledge—for various applications. Current research emphasizes improving ontology development processes through techniques like participatory prompting with large language models (LLMs) to refine requirements and automated methods for ontology size reduction and competency question extraction. These advancements aim to enhance ontology reusability and integration, ultimately improving the reliability and efficiency of knowledge graph construction and applications across diverse fields like biomedicine and building management.