The biomedical community has now developed a significant number of ontologies. The curation of biomedical ontologies is a complex task as they evolve rapidly, being new versions regularly published. Therefore, methods to support ontology developers in analysing and tracking the evolution of their ontologies are needed. OQuaRE is an ontology evaluation framework based on quantitative metrics that permits to obtain normalised scores for different ontologies. In this work, OQuaRE has been applied to 408 versions of the eight OBO Foundry member ontologies. The OBO Foundry member ontologies are supposed to have been built by applying the OBO Foundry principles. Our results show that this set of ontologies is actually following principles such as the naming convention, and that the evolution of the OBO Foundry member ontologies is generating ontologies with higher OQuaRE quality scores.
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Image Processing and 3D Reconstruction
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FuenteStudies in health technology and informatics