🎉 I’m excited to share that our paper:
“A Unified Semantic Framework for IoT-Healthcare Data Interoperability: A Graph-Based Machine Learning Approach Using RDF and R2RML”
has been accepted at the
🏛 29th International Conference on Evaluation and Assessment in Software Engineering (EASE 2025)
📍 Istanbul, Türkiye | 📅 June 17–20, 2025
This work is part of the European Horizon 2020 Project “Pharaon – Pilots for Healthy and Active Ageing”
🔗 https://www.pharaon.eu/
🔗 https://lnkd.in/eYMnkTrR

In this paper, we present a unified semantic interoperability framework tailored for diverse healthcare and IoT data environments, supported by RDF, R2RML mappings, and graph-based machine learning. The proposed solution contributes to scalable, intelligent, and interoperable data infrastructures for next-generation eHealth systems.
EASE is an ACM-sponsored conference, ranked A in the CORE Conference Ranking, reflecting its strong scientific reputation in empirical software engineering and software analytics.
I’m truly honored to contribute to this community and look forward to engaging discussions in Istanbul!
🤝 Thanks to my co-authors and collaborators for their support and contributions.