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...
Saved in:
| Main Authors: | Abid Ali Fareedi, Stephane Gagnon, Ahmad Ghazawneh, Raul Valverde |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/17/6/245 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Developing an Ontology to Enhance Semantic Interoperability in IoT Environment
by: Maria Cornejo-Lupa, et al.
Published: (2025-05-01) -
Digital Twins for Power Systems: Review of Current Practices, Requirements, Enabling Technologies, Data Federation, and Challenges
by: May Myat Thwe, et al.
Published: (2025-01-01) -
Modelling big data platforms as knowledge graphs: the data platform shaper
by: David Greco, et al.
Published: (2025-03-01) -
Challenges and Solution Directions for the Integration of Smart Information Systems in the Agri-Food Sector
by: Emmanuel Ahoa, et al.
Published: (2025-04-01) -
Employing Ontology-Alignment and Locality-Sensitive Hashing to Improve Attribute Interoperability in Federated eID Systems
by: Walter Priesnitz Filho, et al.
Published: (2016-10-01)