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    Rights statement: © 2010 Zhao; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Publishing Chinese medicine knowledge as Linked Data on the Web

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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  • Jun Zhao
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Article number27
<mark>Journal publication date</mark>27/07/2010
<mark>Journal</mark>Chinese Medicine
Issue number1
Volume5
Number of pages12
Publication StatusPublished
<mark>Original language</mark>English

Abstract

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/ webcite 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.

Bibliographic note

© 2010 Zhao; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.