Semantic Fusion of Health Data: Implementing a Federated Virtualized Knowledge Graph Framework Leveraging Ontop System

Abid Ali Fareedi, Stephane Gagnon, Ahmad Ghazawneh and Raul Valverde ()
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Abid Ali Fareedi: The Academy for Information Technology (ITE), Halmstad University, 30118 Halmstad, Sweden
Stephane Gagnon: Département des Sciences Administratives, Université du Québec en Outaouais, Gatineau, QC J7X 3X7, Canada
Ahmad Ghazawneh: The Academy for Information Technology (ITE), Halmstad University, 30118 Halmstad, Sweden
Raul Valverde: John Molson School of Business, Concordia University, Montreal, QC H3H 0A1, Canada

Future Internet, 2025, vol. 17, issue 6, 1-27

Abstract: Data integration (DI) and semantic interoperability (SI) are critical in healthcare, enabling seamless, patient-centric data sharing across systems to meet the demand for instant, unambiguous access to health information. Federated information systems (FIS) highlight auspicious issues for seamless DI and SI stemming from diverse data sources or models. We present a hybrid ontology-based design science research engineering (ODSRE) methodology that combines design science activities with ontology engineering principles to address the above-mentioned issues. The ODSRE constructs a systematic mechanism leveraging the Ontop virtual paradigm to establish a state-of-the-art federated virtual knowledge graph framework (FVKG) embedded virtualized knowledge graph approach to mitigate the aforementioned challenges effectively. The proposed FVKG helps construct a virtualized data federation leveraging the Ontop semantic query engine that effectively resolves data bottlenecks. Using a virtualized technique, the FVKG helps to reduce data migration, ensures low latency and dynamic freshness, and facilitates real-time access while upholding integrity and coherence throughout the federation system. As a result, we suggest a customized framework for constructing ontological monolithic semantic artifacts, especially in FIS. The proposed FVKG incorporates ontology-based data access (OBDA) to build a monolithic virtualized repository that integrates various ontological-driven artifacts and ensures semantic alignments using schema mapping techniques.

Keywords: virtualized knowledge graph; ontop; federated ontology; data integration; data interoperability (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2025
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