Analysis of advanced complexity metrics of biomedical ontologies in the BioPortal repository

Abstract

There is an increase in the number of biomedical ontologies on the semantic web. Therefore, it is important to evaluate their complexity to promote their sharing and reuse in the biomedical domain. This study analyses and discusses the advanced complexity features of the biomedical ontologies stored in the BioPortal repository. A set of 100 biomedical ontologies from the BioPortal repository was collected. Thereafter, the collected ontologies are assigned to the analysis process to compute their advanced complexity metrics including the: size of the vocabulary, entropy of ontology graphs, the average number of paths per class, the tree impurity, class richness, percentage of part-of relations in the total number of relations, and many more. Finally, the computed metrics are discussed to show their impact on the issues of sharing, reuse and maintenance of these ontologies in the biomedical domain.