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Towards an Integration Engine to Achieve Federated Semantic Interoperability
Rainer Randmaa1, Igor Bossenko1, Gunnar Piho1
1eMedLab at Tallinn University of Technology, Tallinn, Estonia.
None:
Efficient and semantically correct data exchange between healthcare systems remains a major challenge due to heterogeneous data models, legacy technologies, and inconsistent adoption of standards. This research investigates and develops an open-source integration engine extending the TermX platform to support federated interoperability through modular mediators, logical models, and transformation tools. The platform builds on the Systems-of-Systems domain and introduces visual interfaces for designing, validating, and sharing integrations, making complex semantic interoperability tasks accessible to non-technical users. Implemented as part of TermX, it enables a community-driven marketplace for reusable models and mediators, promoting scalable, cost-effective system integration. Using a design science approach and real-world evaluation in collaboration with Elora hospitals, the project aims to advance both the practical realization and theoretical understanding of federated semantic interoperability.
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