Literature DB >> 23620361

Sharing and executing linked data queries in a collaborative environment.

María Jesús García Godoy1, Esteban López-Camacho, Ismael Navas-Delgado, José F Aldana-Montes.   

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.

Mesh:

Year:  2013        PMID: 23620361     DOI: 10.1093/bioinformatics/btt192

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

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Authors:  Wei Hu; Honglei Qiu; Jiacheng Huang; Michel Dumontier
Journal:  Database (Oxford)       Date:  2017-01-01       Impact factor: 3.451

2.  kpath: integration of metabolic pathway linked data.

Authors:  Ismael Navas-Delgado; María Jesús García-Godoy; Esteban López-Camacho; Maciej Rybinski; Armando Reyes-Palomares; Miguel Ángel Medina; José F Aldana-Montes
Journal:  Database (Oxford)       Date:  2015-06-08       Impact factor: 3.451

3.  SPARQLGraph: a web-based platform for graphically querying biological Semantic Web databases.

Authors:  Dominik Schweiger; Zlatko Trajanoski; Stephan Pabinger
Journal:  BMC Bioinformatics       Date:  2014-08-15       Impact factor: 3.169

4.  SPANG: a SPARQL client supporting generation and reuse of queries for distributed RDF databases.

Authors:  Hirokazu Chiba; Ikuo Uchiyama
Journal:  BMC Bioinformatics       Date:  2017-02-08       Impact factor: 3.169

5.  An effective biomedical data migration tool from resource description framework to JSON.

Authors:  Jian Liu; Mo Yang; Lei Zhang; Weijun Zhou
Journal:  Database (Oxford)       Date:  2019-01-01       Impact factor: 3.451

  5 in total

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