In this paper, five binary similarity and distance measures are picked based on their usage in the biomedical field. The measures are applied on seven ontology records to evaluate the usage accuracy of relationships part_of and located_in. The accuracy is checked against the definition found on the online medical dictionary provided by the U.S. National Library of Medicine. Each measure is applied on each ontology records. The main contribution of this measure is to provide a mathematical prospective on the issues facing part_of relationship.
Rabie, Osama, "Chitchat on the Nile about Using Similarity Measures to Evaluate Biomedical Ontology Records" (2019). SAIS 2019 Proceedings. 2.