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The ChEMBL database as linked open data
BACKGROUND: Making data available as Linked Data using Resource Description Framework (RDF) promotes integration with other web resources. RDF documents can natively link to related data, and others can link back using Uniform Resource Identifiers (URIs). RDF makes the data machine-readable and uses...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3700754/ https://www.ncbi.nlm.nih.gov/pubmed/23657106 http://dx.doi.org/10.1186/1758-2946-5-23 |
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author | Willighagen, Egon L Waagmeester, Andra Spjuth, Ola Ansell, Peter Williams, Antony J Tkachenko, Valery Hastings, Janna Chen, Bin Wild, David J |
author_facet | Willighagen, Egon L Waagmeester, Andra Spjuth, Ola Ansell, Peter Williams, Antony J Tkachenko, Valery Hastings, Janna Chen, Bin Wild, David J |
author_sort | Willighagen, Egon L |
collection | PubMed |
description | BACKGROUND: Making data available as Linked Data using Resource Description Framework (RDF) promotes integration with other web resources. RDF documents can natively link to related data, and others can link back using Uniform Resource Identifiers (URIs). RDF makes the data machine-readable and uses extensible vocabularies for additional information, making it easier to scale up inference and data analysis. RESULTS: This paper describes recent developments in an ongoing project converting data from the ChEMBL database into RDF triples. Relative to earlier versions, this updated version of ChEMBL-RDF uses recently introduced ontologies, including CHEMINF and CiTO; exposes more information from the database; and is now available as dereferencable, linked data. To demonstrate these new features, we present novel use cases showing further integration with other web resources, including Bio2RDF, Chem2Bio2RDF, and ChemSpider, and showing the use of standard ontologies for querying. CONCLUSIONS: We have illustrated the advantages of using open standards and ontologies to link the ChEMBL database to other databases. Using those links and the knowledge encoded in standards and ontologies, the ChEMBL-RDF resource creates a foundation for integrated semantic web cheminformatics applications, such as the presented decision support. |
format | Online Article Text |
id | pubmed-3700754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-37007542013-07-04 The ChEMBL database as linked open data Willighagen, Egon L Waagmeester, Andra Spjuth, Ola Ansell, Peter Williams, Antony J Tkachenko, Valery Hastings, Janna Chen, Bin Wild, David J J Cheminform Methodology BACKGROUND: Making data available as Linked Data using Resource Description Framework (RDF) promotes integration with other web resources. RDF documents can natively link to related data, and others can link back using Uniform Resource Identifiers (URIs). RDF makes the data machine-readable and uses extensible vocabularies for additional information, making it easier to scale up inference and data analysis. RESULTS: This paper describes recent developments in an ongoing project converting data from the ChEMBL database into RDF triples. Relative to earlier versions, this updated version of ChEMBL-RDF uses recently introduced ontologies, including CHEMINF and CiTO; exposes more information from the database; and is now available as dereferencable, linked data. To demonstrate these new features, we present novel use cases showing further integration with other web resources, including Bio2RDF, Chem2Bio2RDF, and ChemSpider, and showing the use of standard ontologies for querying. CONCLUSIONS: We have illustrated the advantages of using open standards and ontologies to link the ChEMBL database to other databases. Using those links and the knowledge encoded in standards and ontologies, the ChEMBL-RDF resource creates a foundation for integrated semantic web cheminformatics applications, such as the presented decision support. BioMed Central 2013-05-08 /pmc/articles/PMC3700754/ /pubmed/23657106 http://dx.doi.org/10.1186/1758-2946-5-23 Text en Copyright ©2013 Willighagen et al.; licensee Chemistry 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 | Methodology Willighagen, Egon L Waagmeester, Andra Spjuth, Ola Ansell, Peter Williams, Antony J Tkachenko, Valery Hastings, Janna Chen, Bin Wild, David J The ChEMBL database as linked open data |
title | The ChEMBL database as linked open data |
title_full | The ChEMBL database as linked open data |
title_fullStr | The ChEMBL database as linked open data |
title_full_unstemmed | The ChEMBL database as linked open data |
title_short | The ChEMBL database as linked open data |
title_sort | chembl database as linked open data |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3700754/ https://www.ncbi.nlm.nih.gov/pubmed/23657106 http://dx.doi.org/10.1186/1758-2946-5-23 |
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