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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Publicado en:BioMed Research International Vol. 2013; pp. 983805 - 983806
Autores principales: Anguita, Alberto, García-Remesal, Miguel, de la Iglesia, Diana, Maojo, Victor
Formato: Journal Article
Publicado: Wiley-Blackwell 2013
Acceso en línea:Ver este registro en EBSCOhost
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        atl: NCBI2RDF: Enabling Full RDF-Based Access to NCBI Databases.
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          Anguita, Alberto
          García-Remesal, Miguel
          de la Iglesia, Diana
          Maojo, Victor
        affil: Biomedical Informatics Group, Artificial Intelligence Laboratory, School of Computer Science, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, Boadilla del Monte, 28660 Madrid, Spain.
      sug:
        subj:
          Access to Information
          Resource Databases
          Software
          Web Search Engines
      ab: 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.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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