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Linked Data is commonly defined as a set of best practices with the objective of connecting, sharing and exposing data and knowledge. In an effort to address the problems derived from the heterogeneity and the lack of semantics, Linked Data has emerged.

The way that we share and access this information has been especially altered by the lowering of the barriers to access and publish documents and data, and applications have difficulties in reusing this information because of data and format heterogeneity and the lack of formal descriptions of their meaning (semantics). The amount of information on the World Wide Web has increased during the past few years. Ĭontact: information: Supplementary data are available at Bioinformatics online. 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.Īvailability: The Bioqueries portal is freely accessible at. 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. 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. Results: In this article, we present Bioqueries, a wiki-based portal that is aimed at community building around biological Linked 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. Thus, it has been used as the perfect domain for applications in the web of data.

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.

Online screen sharing through rdf viewer