RDB2RDF for Health Data: Advancing Semantic Interoperability

This paper addresses challenges in healthcare data interoperability by exploring Resource Description Framework (RDF) formats and proposing a C#-based algorithm for converting relational databases (RDB) to RDF. The study identifies the limitations of existing RDB2RDF tools and develops a solution tailored for Visual Studio, with an emphasis on extensibility, foreign key mappings, and complex relationships such as composite keys. While the implementation provides a foundational approach, future work will focus on enhancing flexibility and scalability and implementing reverse RDF-to-database conversion. This paper is a preliminary part of an ongoing research project. This work has been partially conducted in the project "ICT programme", which was supported by the European Union through the European Social Fund.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250427
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00

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article

RDB2RDF for Health Data: Advancing Semantic Interoperability

Gunnar Piho, Peeter Ross, Jane-Ly Buhvestova
Studies in health technology and informatics
Semantic Web and Ontologies
article

RDB2RDF for Health Data: Advancing Semantic Interoperability

Gunnar Piho, Peeter Ross, Jane-Ly Buhvestova
article en

Abstract

This paper addresses challenges in healthcare data interoperability by exploring Resource Description Framework (RDF) formats and proposing a C#-based algorithm for converting relational databases (RDB) to RDF. The study identifies the limitations of existing RDB2RDF tools and develops a solution tailored for Visual Studio, with an emphasis on extensibility, foreign key mappings, and complex relationships such as composite keys. While the implementation provides a foundational approach, future work will focus on enhancing flexibility and scalability and implementing reverse RDF-to-database conversion. This paper is a preliminary part of an ongoing research project. This work has been partially conducted in the project "ICT programme", which was supported by the European Union through the European Social Fund.

Studies in health technology and informaticsVol. 327
Competence Centre on Health Technologies (Estonia) (EE)
European Commission
Openalex Percentile: Top 81%
Semantic Web and Ontologies
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