OntoClean

OntoClean is a methodology for designing clear and consistent knowledge structures, like ontologies, by evaluating how categories or concepts relate and depend on each other. It uses philosophical principles to ensure that categories are organized logically—such as understanding which concepts are more general or specific, and how they inherit properties. This helps prevent confusion and errors in how information is classified, making data models more reliable and easier to work with in applications like search, reasoning, and data integration. Overall, OntoClean improves the clarity and quality of structured knowledge representations.