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RDF2Graph a tool to recover, understand and validate the ontology of an RDF resource

BACKGROUND: Semantic web technologies have a tremendous potential for the integration of heterogeneous data sets. Therefore, an increasing number of widely used biological resources are becoming available in the RDF data model. There are however, no tools available that provide structural overviews...

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Autores principales: van Dam, Jesse CJ, Koehorst, Jasper J, Schaap, Peter J, Martins dos Santos, Vitor AP, Suarez-Diez, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619317/
https://www.ncbi.nlm.nih.gov/pubmed/26500754
http://dx.doi.org/10.1186/s13326-015-0038-9
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author van Dam, Jesse CJ
Koehorst, Jasper J
Schaap, Peter J
Martins dos Santos, Vitor AP
Suarez-Diez, Maria
author_facet van Dam, Jesse CJ
Koehorst, Jasper J
Schaap, Peter J
Martins dos Santos, Vitor AP
Suarez-Diez, Maria
author_sort van Dam, Jesse CJ
collection PubMed
description BACKGROUND: Semantic web technologies have a tremendous potential for the integration of heterogeneous data sets. Therefore, an increasing number of widely used biological resources are becoming available in the RDF data model. There are however, no tools available that provide structural overviews of these resources. Such structural overviews are essential to efficiently query these resources and to assess their structural integrity and design, thereby strengthening their use and potential. RESULTS: Here we present RDF2Graph, a tool that automatically recovers the structure of an RDF resource. The generated overview allows to create complex queries on these resources and to structurally validate newly created resources. CONCLUSION: RDF2Graph facilitates the creation of complex queries thereby enabling access to knowledge stored across multiple RDF resources. RDF2Graph facilitates creation of high quality resources and resource descriptions, which in turn increases usability of the semantic web technologies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13326-015-0038-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-46193172015-10-26 RDF2Graph a tool to recover, understand and validate the ontology of an RDF resource van Dam, Jesse CJ Koehorst, Jasper J Schaap, Peter J Martins dos Santos, Vitor AP Suarez-Diez, Maria J Biomed Semantics Software BACKGROUND: Semantic web technologies have a tremendous potential for the integration of heterogeneous data sets. Therefore, an increasing number of widely used biological resources are becoming available in the RDF data model. There are however, no tools available that provide structural overviews of these resources. Such structural overviews are essential to efficiently query these resources and to assess their structural integrity and design, thereby strengthening their use and potential. RESULTS: Here we present RDF2Graph, a tool that automatically recovers the structure of an RDF resource. The generated overview allows to create complex queries on these resources and to structurally validate newly created resources. CONCLUSION: RDF2Graph facilitates the creation of complex queries thereby enabling access to knowledge stored across multiple RDF resources. RDF2Graph facilitates creation of high quality resources and resource descriptions, which in turn increases usability of the semantic web technologies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13326-015-0038-9) contains supplementary material, which is available to authorized users. BioMed Central 2015-10-23 /pmc/articles/PMC4619317/ /pubmed/26500754 http://dx.doi.org/10.1186/s13326-015-0038-9 Text en © van Dam et al. 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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
van Dam, Jesse CJ
Koehorst, Jasper J
Schaap, Peter J
Martins dos Santos, Vitor AP
Suarez-Diez, Maria
RDF2Graph a tool to recover, understand and validate the ontology of an RDF resource
title RDF2Graph a tool to recover, understand and validate the ontology of an RDF resource
title_full RDF2Graph a tool to recover, understand and validate the ontology of an RDF resource
title_fullStr RDF2Graph a tool to recover, understand and validate the ontology of an RDF resource
title_full_unstemmed RDF2Graph a tool to recover, understand and validate the ontology of an RDF resource
title_short RDF2Graph a tool to recover, understand and validate the ontology of an RDF resource
title_sort rdf2graph a tool to recover, understand and validate the ontology of an rdf resource
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619317/
https://www.ncbi.nlm.nih.gov/pubmed/26500754
http://dx.doi.org/10.1186/s13326-015-0038-9
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