Semantic Fusion of Health Data: Implementing a Federated Virtualized Knowledge Graph Framework Leveraging Ontop System
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 D...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/17/6/245 |
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| author | Abid Ali Fareedi Stephane Gagnon Ahmad Ghazawneh Raul Valverde |
| author_facet | Abid Ali Fareedi Stephane Gagnon Ahmad Ghazawneh Raul Valverde |
| author_sort | Abid Ali Fareedi |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-cbd07e8bd4cb4be3b4a9789c6176b6d8 |
| institution | Kabale University |
| issn | 1999-5903 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj-art-cbd07e8bd4cb4be3b4a9789c6176b6d82025-08-20T03:24:33ZengMDPI AGFuture Internet1999-59032025-05-0117624510.3390/fi17060245Semantic Fusion of Health Data: Implementing a Federated Virtualized Knowledge Graph Framework Leveraging Ontop SystemAbid Ali Fareedi0Stephane Gagnon1Ahmad Ghazawneh2Raul Valverde3The Academy for Information Technology (ITE), Halmstad University, 30118 Halmstad, SwedenDépartement des Sciences Administratives, Université du Québec en Outaouais, Gatineau, QC J7X 3X7, CanadaThe Academy for Information Technology (ITE), Halmstad University, 30118 Halmstad, SwedenJohn Molson School of Business, Concordia University, Montreal, QC H3H 0A1, CanadaData 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.https://www.mdpi.com/1999-5903/17/6/245virtualized knowledge graphontopfederated ontologydata integrationdata interoperability |
| spellingShingle | Abid Ali Fareedi Stephane Gagnon Ahmad Ghazawneh Raul Valverde Semantic Fusion of Health Data: Implementing a Federated Virtualized Knowledge Graph Framework Leveraging Ontop System Future Internet virtualized knowledge graph ontop federated ontology data integration data interoperability |
| title | Semantic Fusion of Health Data: Implementing a Federated Virtualized Knowledge Graph Framework Leveraging Ontop System |
| title_full | Semantic Fusion of Health Data: Implementing a Federated Virtualized Knowledge Graph Framework Leveraging Ontop System |
| title_fullStr | Semantic Fusion of Health Data: Implementing a Federated Virtualized Knowledge Graph Framework Leveraging Ontop System |
| title_full_unstemmed | Semantic Fusion of Health Data: Implementing a Federated Virtualized Knowledge Graph Framework Leveraging Ontop System |
| title_short | Semantic Fusion of Health Data: Implementing a Federated Virtualized Knowledge Graph Framework Leveraging Ontop System |
| title_sort | semantic fusion of health data implementing a federated virtualized knowledge graph framework leveraging ontop system |
| topic | virtualized knowledge graph ontop federated ontology data integration data interoperability |
| url | https://www.mdpi.com/1999-5903/17/6/245 |
| work_keys_str_mv | AT abidalifareedi semanticfusionofhealthdataimplementingafederatedvirtualizedknowledgegraphframeworkleveragingontopsystem AT stephanegagnon semanticfusionofhealthdataimplementingafederatedvirtualizedknowledgegraphframeworkleveragingontopsystem AT ahmadghazawneh semanticfusionofhealthdataimplementingafederatedvirtualizedknowledgegraphframeworkleveragingontopsystem AT raulvalverde semanticfusionofhealthdataimplementingafederatedvirtualizedknowledgegraphframeworkleveragingontopsystem |