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Bioqueries: a social community sharing experiences while querying biological linked data

Published: 07 December 2011 Publication History

Abstract

Life Sciences have emerged as a key domain in the Linked Data community because of the diversity of data semantics and formats available by means of 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, on the one hand, bioinformaticians are not exploiting the full potential of this already available technology and, on the other hand, the experts in Life Sciences have real problems to discover, understand and devise how to take advantage of these interlinked (integrated) data. In this paper, we present Bioqueries, a wiki-based portal that is aimed at community building around Biological Linked Data. This public space offers several services and a collaborative infrastructure with the objective of stimulating the generation of activity in the consumption of Biological Linked Data and therefore contributing to the deployment of the benefits of the Web of Data in this domain. This tool is not only designed to aid bioinformaticians when designing SPARQL queries to access biological databases exposed as Linked Data but also aid biologists to gain a deeper insight into the potential use of this technology. These queries published in the portal are also described and commented on natural language, to enable their use by experts in the domain but with less expertise in semantic technologies. The Bioqueries portal is accessible at http://bioqueries.uma.es

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  • (2019)SpecINT: A framework for data integration over cheminformatics and bioinformatics RDF repositoriesSemantic Web10.3233/SW-18032710:4(795-813)Online publication date: 23-May-2019
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        cover image ACM Other conferences
        SWAT4LS '11: Proceedings of the 4th International Workshop on Semantic Web Applications and Tools for the Life Sciences
        December 2011
        139 pages
        ISBN:9781450310765
        DOI:10.1145/2166896
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        • BBRC: Biotechnology and Biological Sciences Research Council
        • NCBO: National Center for BioMedical Ontology
        • BioMed Central: BioMed Central

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        Published: 07 December 2011

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        1. life sciences
        2. linked open data
        3. semantic web
        4. wiki

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        View all
        • (2019)SpecINT: A framework for data integration over cheminformatics and bioinformatics RDF repositoriesSemantic Web10.3233/SW-18032710:4(795-813)Online publication date: 23-May-2019
        • (2019)Enabling semantic queries across federated bioinformatics databasesDatabase10.1093/database/baz1062019Online publication date: 7-Nov-2019
        • (2017)PIBAS FedSPARQL: a web-based platform for integration and exploration of bioinformatics datasetsJournal of Biomedical Semantics10.1186/s13326-017-0151-z8:1Online publication date: 20-Sep-2017
        • (2014)Towards a Linked Open Data Model for Coffee Functional RelationshipsAdvances in Computational Biology10.1007/978-3-319-01568-2_18(121-126)Online publication date: 2014

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