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Publishing Chinese medicine knowledge as Linked Data on the Web

BACKGROUND: Chinese medicine (CM) draws growing attention from Western healthcare practitioners and patients. However, the integration of CM knowledge and Western medicine (WM) has been hindered by a barrier of languages and cultures as well as a lack of scientific evidence for CM's efficacy an...

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Detalles Bibliográficos
Autor principal: Zhao, Jun
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2936390/
https://www.ncbi.nlm.nih.gov/pubmed/20663193
http://dx.doi.org/10.1186/1749-8546-5-27
Descripción
Sumario:BACKGROUND: Chinese medicine (CM) draws growing attention from Western healthcare practitioners and patients. However, the integration of CM knowledge and Western medicine (WM) has been hindered by a barrier of languages and cultures as well as a lack of scientific evidence for CM's efficacy and safety. In addition, most of CM knowledge published with relational database technology makes the integration of databases even more challenging. METHODS: Linked Data approach was used in publishing CM knowledge. This approach was applied to publishing a CM linked dataset, namely RDF-TCM http://www.open-biomed.org.uk/rdf-tcm/ based on TCMGeneDIT, which provided association information about CM in English. RESULTS: The Linked Data approach made CM knowledge accessible through standards-compliant interfaces to facilitate the bridging of CM and WM. The open and programmatically-accessible RDF-TCM facilitated the creation of new data mash-up and novel federated query applications. CONCLUSION: Publishing CM knowledge in Linked Data provides a point of departure for integration of CM databases.