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Abstract: The representation of an entity in an ontology may require complex expressions to capture all of its relevant characteristics. If an entity can be defined based on its characteristics, then its definition can be explicitly stated in most knowledge representation languages, such as the Web Ontology Language (OWL). Specifically, a domain-specific entity can be identified by an amein an ontology, which can be declared to be logically equivalent to a more complex expression. This not only fixes the meaning of the entity in the ontology but also allows its name to replace the more complex expression throughout the ontology. Consistently using concise and informative names for domain-specific entities in an ontology can arguably enhance ontology comprehension, maintenance, and usability in practice. This raises the question of the extent to which entities represented in ontologies are associated with concrete names and how such names are used. In this paper, we analyze how often named classes in OWL ontologies are defined as logically equivalent to complex expressions. We investigate whether such named classes are consistently used whenever possible and whether they are associated with labels intended for human understanding. Our findings indicate that complex class expressions are frequently declared to be equivalent to named classes in ontologies, and that such named classes are linked to human readable labels. While there seems to be a tendency to encourage the reuse of these names, we also observe a notable number of instances where such named classes are not consistently reused despite being defined. Presented by Chris Kindermann on August 31, 2023 Publication link: https://ceur-ws.org/Vol-3603/Paper8.pdf Slides link: https://www.icbo2023.ncor-brasil.org/... [ICBO-Ontobras 2023 official website: https://www.icbo2023.ncor-brasil.org/] Biomedical Ontology World is a channel to publish talks, lessons, and interviews for ontology development and implementation for bio and health big data, data interoperability, AI, and knowledge presentation.