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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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Publishing Chinese medicine knowledge as Linked Data on the Web
AU - Zhao, Jun
N1 - © 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.
PY - 2010/7/27
Y1 - 2010/7/27
N2 - BackgroundChinese 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.MethodsLinked 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.ResultsThe 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.ConclusionPublishing CM knowledge in Linked Data provides a point of departure for integration of CM databases.
AB - BackgroundChinese 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.MethodsLinked 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.ResultsThe 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.ConclusionPublishing CM knowledge in Linked Data provides a point of departure for integration of CM databases.
U2 - 10.1186/1749-8546-5-27
DO - 10.1186/1749-8546-5-27
M3 - Journal article
VL - 5
JO - Chinese Medicine
JF - Chinese Medicine
IS - 1
M1 - 27
ER -