Schema matching is a fundamental task in data integration and interoperability, concerned with identifying semantic correspondences between elements of two distinct schemas. This research area investigates automated and semi-automated techniques to discover relationships between heterogeneous data models, facilitating data exchange and transformation across disparate systems.