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Memorias de investigación
Artículos en revistas:
NCBI2RDF: Enabling Full RDF-Based Access to NCBI Databases
Año:2013
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
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.
Internacional
Si
JCR del ISI
Si
Título de la revista
BIOMED RESEARCH INTERNATIONAL
ISSN
2314-6133
Factor de impacto JCR
2,88
Información de impacto
Volumen
2013
DOI
10.1155/2013/983805
Número de revista
2013
Desde la página
0
Hasta la página
9
Mes
JULIO
Ranking
0
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Alberto Anguita Sanchez (UPM)
  • Autor: Miguel Garcia Remesal (UPM)
  • Autor: Diana De la Iglesia Jimenez (UPM)
  • Autor: Victor Manuel Maojo Garcia (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (GIB)
  • Departamento: Inteligencia Artificial
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