Publishing Chinese medicine knowledge as Linked Data on the Web

<p>Abstract</p> <p>Background</p> <p>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...

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Main Author: Zhao Jun
Format: Article
Language:English
Published: BMC 2010-07-01
Series:Chinese Medicine
Online Access:http://www.cmjournal.org/content/5/1/27
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author Zhao Jun
author_facet Zhao Jun
author_sort Zhao Jun
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>Linked Data approach was used in publishing CM knowledge. This approach was applied to publishing a CM linked dataset, namely RDF-TCM <url>http://www.open-biomed.org.uk/rdf-tcm/</url> based on TCMGeneDIT, which provided association information about CM in English.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>Publishing CM knowledge in Linked Data provides a point of departure for integration of CM databases.</p>
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spelling doaj.art-8243fc2aeaf2494599a9c262b608745b2022-12-21T18:27:51ZengBMCChinese Medicine1749-85462010-07-01512710.1186/1749-8546-5-27Publishing Chinese medicine knowledge as Linked Data on the WebZhao Jun<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>Linked Data approach was used in publishing CM knowledge. This approach was applied to publishing a CM linked dataset, namely RDF-TCM <url>http://www.open-biomed.org.uk/rdf-tcm/</url> based on TCMGeneDIT, which provided association information about CM in English.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>Publishing CM knowledge in Linked Data provides a point of departure for integration of CM databases.</p>http://www.cmjournal.org/content/5/1/27
spellingShingle Zhao Jun
Publishing Chinese medicine knowledge as Linked Data on the Web
Chinese Medicine
title Publishing Chinese medicine knowledge as Linked Data on the Web
title_full Publishing Chinese medicine knowledge as Linked Data on the Web
title_fullStr Publishing Chinese medicine knowledge as Linked Data on the Web
title_full_unstemmed Publishing Chinese medicine knowledge as Linked Data on the Web
title_short Publishing Chinese medicine knowledge as Linked Data on the Web
title_sort publishing chinese medicine knowledge as linked data on the web
url http://www.cmjournal.org/content/5/1/27
work_keys_str_mv AT zhaojun publishingchinesemedicineknowledgeaslinkeddataontheweb