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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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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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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 |
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author | Zhao, Jun |
author_facet | Zhao, Jun |
author_sort | Zhao, Jun |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2936390 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-29363902010-09-10 Publishing Chinese medicine knowledge as Linked Data on the Web Zhao, Jun Chin Med Research 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. BioMed Central 2010-07-27 /pmc/articles/PMC2936390/ /pubmed/20663193 http://dx.doi.org/10.1186/1749-8546-5-27 Text en Copyright ©2010 Zhao; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 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. |
spellingShingle | Research Zhao, Jun Publishing Chinese medicine knowledge as Linked Data on the Web |
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 |
topic | Research |
url | 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 |
work_keys_str_mv | AT zhaojun publishingchinesemedicineknowledgeaslinkeddataontheweb |