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NCBI2RDF: Enabling Full RDF-Based Access to NCBI Databases

RDF has become the standard technology for enabling interoperability among heterogeneous biomedical databases. The NCBI provides access to a large set of life sciences databases through a common interface called Entrez. However, the latter does not provide RDF-based access to such databases, and, th...

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Detalles Bibliográficos
Autores principales: Anguita, Alberto, García-Remesal, Miguel, de la Iglesia, Diana, Maojo, Victor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3745940/
https://www.ncbi.nlm.nih.gov/pubmed/23984425
http://dx.doi.org/10.1155/2013/983805
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author Anguita, Alberto
García-Remesal, Miguel
de la Iglesia, Diana
Maojo, Victor
author_facet Anguita, Alberto
García-Remesal, Miguel
de la Iglesia, Diana
Maojo, Victor
author_sort Anguita, Alberto
collection PubMed
description RDF has become the standard technology for enabling interoperability among heterogeneous biomedical databases. The NCBI provides access to a large set of life sciences databases through a common interface called Entrez. However, the latter does not provide RDF-based access to such databases, and, therefore, they cannot be integrated with other RDF-compliant databases and accessed via SPARQL query interfaces. This paper presents the NCBI2RDF system, aimed at providing RDF-based access to the complete NCBI data repository. This API creates a virtual endpoint for servicing SPARQL queries over different NCBI repositories and presenting to users the query results in SPARQL results format, thus enabling this data to be integrated and/or stored with other RDF-compliant repositories. SPARQL queries are dynamically resolved, decomposed, and forwarded to the NCBI-provided E-utilities programmatic interface to access the NCBI data. Furthermore, we show how our approach increases the expressiveness of the native NCBI querying system, allowing several databases to be accessed simultaneously. This feature significantly boosts productivity when working with complex queries and saves time and effort to biomedical researchers. Our approach has been validated with a large number of SPARQL queries, thus proving its reliability and enhanced capabilities in biomedical environments.
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spelling pubmed-37459402013-08-27 NCBI2RDF: Enabling Full RDF-Based Access to NCBI Databases Anguita, Alberto García-Remesal, Miguel de la Iglesia, Diana Maojo, Victor Biomed Res Int Research Article RDF has become the standard technology for enabling interoperability among heterogeneous biomedical databases. The NCBI provides access to a large set of life sciences databases through a common interface called Entrez. However, the latter does not provide RDF-based access to such databases, and, therefore, they cannot be integrated with other RDF-compliant databases and accessed via SPARQL query interfaces. This paper presents the NCBI2RDF system, aimed at providing RDF-based access to the complete NCBI data repository. This API creates a virtual endpoint for servicing SPARQL queries over different NCBI repositories and presenting to users the query results in SPARQL results format, thus enabling this data to be integrated and/or stored with other RDF-compliant repositories. SPARQL queries are dynamically resolved, decomposed, and forwarded to the NCBI-provided E-utilities programmatic interface to access the NCBI data. Furthermore, we show how our approach increases the expressiveness of the native NCBI querying system, allowing several databases to be accessed simultaneously. This feature significantly boosts productivity when working with complex queries and saves time and effort to biomedical researchers. Our approach has been validated with a large number of SPARQL queries, thus proving its reliability and enhanced capabilities in biomedical environments. Hindawi Publishing Corporation 2013 2013-07-28 /pmc/articles/PMC3745940/ /pubmed/23984425 http://dx.doi.org/10.1155/2013/983805 Text en Copyright © 2013 Alberto Anguita et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Anguita, Alberto
García-Remesal, Miguel
de la Iglesia, Diana
Maojo, Victor
NCBI2RDF: Enabling Full RDF-Based Access to NCBI Databases
title NCBI2RDF: Enabling Full RDF-Based Access to NCBI Databases
title_full NCBI2RDF: Enabling Full RDF-Based Access to NCBI Databases
title_fullStr NCBI2RDF: Enabling Full RDF-Based Access to NCBI Databases
title_full_unstemmed NCBI2RDF: Enabling Full RDF-Based Access to NCBI Databases
title_short NCBI2RDF: Enabling Full RDF-Based Access to NCBI Databases
title_sort ncbi2rdf: enabling full rdf-based access to ncbi databases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3745940/
https://www.ncbi.nlm.nih.gov/pubmed/23984425
http://dx.doi.org/10.1155/2013/983805
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