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Sharing and executing linked data queries in a collaborative environment.
García Godoy, María Jesús; López-Camacho, Esteban; Navas-Delgado, Ismael; Aldana-Montes, José F.
Afiliación
  • García Godoy MJ; Lenguajes y Ciencias de la Computación, Universidad de Málaga, Bulevar Louis Pasteur 35, Málaga, Spain.
Bioinformatics ; 29(13): 1663-70, 2013 Jul 01.
Article en En | MEDLINE | ID: mdl-23620361
ABSTRACT
MOTIVATION Life Sciences have emerged as a key domain in the Linked Data community because of the diversity of data semantics and formats available through a great variety of databases and web technologies. Thus, it has been used as the perfect domain for applications in the web of data. Unfortunately, bioinformaticians are not exploiting the full potential of this already available technology, and experts in Life Sciences have real problems to discover, understand and devise how to take advantage of these interlinked (integrated) data.

RESULTS:

In this article, we present Bioqueries, a wiki-based portal that is aimed at community building around biological Linked Data. This tool has been designed to aid bioinformaticians in developing SPARQL queries to access biological databases exposed as Linked Data, and also to help biologists gain a deeper insight into the potential use of this technology. This public space offers several services and a collaborative infrastructure to stimulate the consumption of biological Linked Data and, therefore, contribute to implementing the benefits of the web of data in this domain. Bioqueries currently contains 215 query entries grouped by database and theme, 230 registered users and 44 end points that contain biological Resource Description Framework information.

AVAILABILITY:

The Bioqueries portal is freely accessible at http//bioqueries.uma.es. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Bases de Datos Factuales Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2013 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Bases de Datos Factuales Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2013 Tipo del documento: Article País de afiliación: España