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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...

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Autores principales: Willighagen, Egon L, Waagmeester, Andra, Spjuth, Ola, Ansell, Peter, Williams, Antony J, Tkachenko, Valery, Hastings, Janna, Chen, Bin, Wild, David J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
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.
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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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