Analysing the effectiveness of COMA++ on the mapping between Traditional Malay Textile (TMT) knowledge model and CIDOC CRM

The existence of state-of-the art mapping tools facilitate in finding correspondences between ontology entities. COMA++ among others is a tool that accommodates both schemas and ontologies matching with additional enhancements and provides a platform to evaluate different match algorithms. COMA++ is asserted to be a useful support tool due to its availability online, capability to integrate large variety of similarity algorithms and feasibility for complex metadata management problems. Thus, COMA++ is chosen in this study based on the input type, output type, interaction and availability. The findings show that COMA++ is an effective tool in finding similarity between schemas in terms of element and structural aspects with its single hybrid matchers and combination matchers. However, there are several limitations identified during the experiments that drive this study for further enhancement to be carried out in the future to test its true potential.