Abstract

This study presents an innovative approach to advancing interoperability in information systems through the development of an Artificial Intelligence (AI)-based data mediator. Although standards have contributed to interoperability among disparate systems, the lack of universal standards still requires tools for data mediation. To reduce the substantial need for manual configuration of these systems, this paper outlines a strategy for translating data between two systems with different data schemas automatically. Unlike traditional methods, the proposed data mediator leverages recent advancements in AI to facilitate automatic mapping of heterogeneous data.

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