The most recently developed software ecosystems with a microservice architectural style have specific features, systems and data distributed across different sources, making it difficult for companies to manage data. Since real-world conceptual models differ among systems, problems such as data integration and communication between microservices imply the need for matching between schemas and messages. The literature shows matching problems such as high heterogeneity of semantic data, search space size and constant schema updates; and highlights as gaps the accommodation of changes in data structures, inadequate user interfaces and scarcity of approaches for practical use. This study presents the architecture of the HSSMatch model, which estimates the capacity to support structural upgrades, search space reduction and adequate user interaction for human validation in the real microservice schema matching process.