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PubChemRDF: towards the semantic annotation of PubChem compound and substance databases
BACKGROUND: PubChem is an open repository for chemical structures, biological activities and biomedical annotations. Semantic Web technologies are emerging as an increasingly important approach to distribute and integrate scientific data. Exposing PubChem data to Semantic Web services may help enabl...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4500850/ https://www.ncbi.nlm.nih.gov/pubmed/26175801 http://dx.doi.org/10.1186/s13321-015-0084-4 |
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author | Fu, Gang Batchelor, Colin Dumontier, Michel Hastings, Janna Willighagen, Egon Bolton, Evan |
author_facet | Fu, Gang Batchelor, Colin Dumontier, Michel Hastings, Janna Willighagen, Egon Bolton, Evan |
author_sort | Fu, Gang |
collection | PubMed |
description | BACKGROUND: PubChem is an open repository for chemical structures, biological activities and biomedical annotations. Semantic Web technologies are emerging as an increasingly important approach to distribute and integrate scientific data. Exposing PubChem data to Semantic Web services may help enable automated data integration and management, as well as facilitate interoperable web applications. DESCRIPTION: This work, one of a series covering the PubChemRDF project, describes an approach to translate PubChem Substance and Compound information into Resource Description Framework (RDF) format. Basic examples are provided to demonstrate its use. The aim of this effort is to provide two new primary benefits to researchers in a cost-effective manner. Firstly, we aim to remove the inherent limitations of using the web-based resource PubChem by allowing a researcher to use readily available semantic technologies (namely, RDF triple stores and their corresponding SPARQL query engines) to query and analyze PubChem data on local computing resources. Secondly, this work intends to help improve data sharing, analysis, and integration of PubChem data to resources external to NCBI and across scientific domains, by means of the association of PubChem data to existing ontological frameworks, including CHEMical INFormation ontology, Semanticscience Integrated Ontology, and others. CONCLUSIONS: With the goal of semantically describing information available in the PubChem archive, pre-existing ontological frameworks were used, rather than creating new ones. Semantic relationships between compounds and substances, chemical descriptors associated with compounds and substances, interrelationships between chemicals, as well as provenance and attribute metadata of substances are described. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13321-015-0084-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4500850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-45008502015-07-15 PubChemRDF: towards the semantic annotation of PubChem compound and substance databases Fu, Gang Batchelor, Colin Dumontier, Michel Hastings, Janna Willighagen, Egon Bolton, Evan J Cheminform Database BACKGROUND: PubChem is an open repository for chemical structures, biological activities and biomedical annotations. Semantic Web technologies are emerging as an increasingly important approach to distribute and integrate scientific data. Exposing PubChem data to Semantic Web services may help enable automated data integration and management, as well as facilitate interoperable web applications. DESCRIPTION: This work, one of a series covering the PubChemRDF project, describes an approach to translate PubChem Substance and Compound information into Resource Description Framework (RDF) format. Basic examples are provided to demonstrate its use. The aim of this effort is to provide two new primary benefits to researchers in a cost-effective manner. Firstly, we aim to remove the inherent limitations of using the web-based resource PubChem by allowing a researcher to use readily available semantic technologies (namely, RDF triple stores and their corresponding SPARQL query engines) to query and analyze PubChem data on local computing resources. Secondly, this work intends to help improve data sharing, analysis, and integration of PubChem data to resources external to NCBI and across scientific domains, by means of the association of PubChem data to existing ontological frameworks, including CHEMical INFormation ontology, Semanticscience Integrated Ontology, and others. CONCLUSIONS: With the goal of semantically describing information available in the PubChem archive, pre-existing ontological frameworks were used, rather than creating new ones. Semantic relationships between compounds and substances, chemical descriptors associated with compounds and substances, interrelationships between chemicals, as well as provenance and attribute metadata of substances are described. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13321-015-0084-4) contains supplementary material, which is available to authorized users. Springer International Publishing 2015-07-14 /pmc/articles/PMC4500850/ /pubmed/26175801 http://dx.doi.org/10.1186/s13321-015-0084-4 Text en © Fu et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Database Fu, Gang Batchelor, Colin Dumontier, Michel Hastings, Janna Willighagen, Egon Bolton, Evan PubChemRDF: towards the semantic annotation of PubChem compound and substance databases |
title | PubChemRDF: towards the semantic annotation of PubChem compound and substance databases |
title_full | PubChemRDF: towards the semantic annotation of PubChem compound and substance databases |
title_fullStr | PubChemRDF: towards the semantic annotation of PubChem compound and substance databases |
title_full_unstemmed | PubChemRDF: towards the semantic annotation of PubChem compound and substance databases |
title_short | PubChemRDF: towards the semantic annotation of PubChem compound and substance databases |
title_sort | pubchemrdf: towards the semantic annotation of pubchem compound and substance databases |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4500850/ https://www.ncbi.nlm.nih.gov/pubmed/26175801 http://dx.doi.org/10.1186/s13321-015-0084-4 |
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