Revealing the Development of Fish Species Identification Process through An Ontology Mapping Approach

Ontology plays an essential role in biological research. It supports integrative analysis and interpretation by provisioning a standardized vocabulary, metadata, machine-readable axioms, and definitions. As a representation of knowledge within a domain, ontology must be adaptable to the domain changes. The fish species identification process has evolved as well. In this work, we would like to reveal the development of the process over time by using an ontology mapping approach. The approach relies on an ontology as a reference to be compared with the current requirements such that changes can be detected and revealed. This work utilizes Fish Ontology as the reference and database of Belida Research Project as the current requirements. As a result, multiple patterns have been detected, grouped into two types: the BD contains more specific fields than the attributes in the FO, and the FO encompasses more detailed attributes than those in the BD. Consequently, the reference needs to be updated to represent current requirements in the species identification domain.