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Conceptual Model Formalization in a Semantic Interoperability Service Framework: Transforming Relational Database
Carlos Bravo1, Carlos Suarez1, Carolina González1
1Computational Intelligence Research Group, University of Cauca, Colombia.
Studies in Health Technology and Informatics
|May 24, 2014
Summary
This study introduces a service to convert relational databases into Web Ontology Language, enabling better healthcare data sharing. The approach uses inheritance rules for transforming diverse data models to enhance semantic interoperability.
Area of Science:
- Computer Science
- Information Science
- Bioinformatics
Background:
- Healthcare data is fragmented across diverse, independent systems, hindering access and sharing.
- Achieving semantic interoperability for distributed health information remains a significant challenge.
Purpose of the Study:
- To present a formal, semi-automatic service for transforming Relational Databases (RDB) to Web Ontology Language (OWL).
- To address the challenge of accessing and sharing distributed healthcare information by enabling semantic interoperability.
Main Methods:
- Developed a transformation service employing an algorithm primarily based on inheritance rules.
- The algorithm facilitates the conversion of various data models from different domains into OWL.
Main Results:
- A functional transformation service from RDB to OWL has been established.
- The method effectively handles diverse data models through the application of inheritance rules.
Conclusions:
- The proposed RDB to OWL transformation service is a key component for achieving semantic interoperability in healthcare.
- Integrating this service into an ontology-based interoperability framework is crucial for seamless data exchange.
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