Cargando…

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...

Descripción completa

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
_version_ 1782186484617445376
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