Ontology meta-matching plays a pivotal role in semantic web applications, facilitating the alignment of disparate ontologies to enable interoperability and knowledge integration. However, the black-box nature of many meta-matching algorithms has raised concerns regarding their interpretability, making it challenging for users to trust and effectively use their results. This study explores interpretability in ontology meta-matching, aiming to shed light on this critical aspect of the process.