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SPARQLGraph: a web-based platform for graphically querying biological Semantic Web databases
BACKGROUND: Semantic Web has established itself as a framework for using and sharing data across applications and database boundaries. Here, we present a web-based platform for querying biological Semantic Web databases in a graphical way. RESULTS: SPARQLGraph offers an intuitive drag & drop que...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4148538/ https://www.ncbi.nlm.nih.gov/pubmed/25127889 http://dx.doi.org/10.1186/1471-2105-15-279 |
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author | Schweiger, Dominik Trajanoski, Zlatko Pabinger, Stephan |
author_facet | Schweiger, Dominik Trajanoski, Zlatko Pabinger, Stephan |
author_sort | Schweiger, Dominik |
collection | PubMed |
description | BACKGROUND: Semantic Web has established itself as a framework for using and sharing data across applications and database boundaries. Here, we present a web-based platform for querying biological Semantic Web databases in a graphical way. RESULTS: SPARQLGraph offers an intuitive drag & drop query builder, which converts the visual graph into a query and executes it on a public endpoint. The tool integrates several publicly available Semantic Web databases, including the databases of the just recently released EBI RDF platform. Furthermore, it provides several predefined template queries for answering biological questions. Users can easily create and save new query graphs, which can also be shared with other researchers. CONCLUSIONS: This new graphical way of creating queries for biological Semantic Web databases considerably facilitates usability as it removes the requirement of knowing specific query languages and database structures. The system is freely available at http://sparqlgraph.i-med.ac.at. |
format | Online Article Text |
id | pubmed-4148538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41485382014-08-29 SPARQLGraph: a web-based platform for graphically querying biological Semantic Web databases Schweiger, Dominik Trajanoski, Zlatko Pabinger, Stephan BMC Bioinformatics Software BACKGROUND: Semantic Web has established itself as a framework for using and sharing data across applications and database boundaries. Here, we present a web-based platform for querying biological Semantic Web databases in a graphical way. RESULTS: SPARQLGraph offers an intuitive drag & drop query builder, which converts the visual graph into a query and executes it on a public endpoint. The tool integrates several publicly available Semantic Web databases, including the databases of the just recently released EBI RDF platform. Furthermore, it provides several predefined template queries for answering biological questions. Users can easily create and save new query graphs, which can also be shared with other researchers. CONCLUSIONS: This new graphical way of creating queries for biological Semantic Web databases considerably facilitates usability as it removes the requirement of knowing specific query languages and database structures. The system is freely available at http://sparqlgraph.i-med.ac.at. BioMed Central 2014-08-15 /pmc/articles/PMC4148538/ /pubmed/25127889 http://dx.doi.org/10.1186/1471-2105-15-279 Text en © Schweiger et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Schweiger, Dominik Trajanoski, Zlatko Pabinger, Stephan SPARQLGraph: a web-based platform for graphically querying biological Semantic Web databases |
title | SPARQLGraph: a web-based platform for graphically querying biological Semantic Web databases |
title_full | SPARQLGraph: a web-based platform for graphically querying biological Semantic Web databases |
title_fullStr | SPARQLGraph: a web-based platform for graphically querying biological Semantic Web databases |
title_full_unstemmed | SPARQLGraph: a web-based platform for graphically querying biological Semantic Web databases |
title_short | SPARQLGraph: a web-based platform for graphically querying biological Semantic Web databases |
title_sort | sparqlgraph: a web-based platform for graphically querying biological semantic web databases |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4148538/ https://www.ncbi.nlm.nih.gov/pubmed/25127889 http://dx.doi.org/10.1186/1471-2105-15-279 |
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