Ontology meta-matching is essential for semantic web applications, as it helps align different ontologies, thereby ensuring interoperability and the seamless integration of knowledge. Yet, the opaqueness of numerous meta-matching algorithms has sparked issues around their transparency, leading to difficulties in trusting and utilizing their outcomes effectively. This research delves into the interpretability of ontology meta-matching, seeking to illuminate this crucial facet in the field of knowledge engineering.