期刊论文详细信息
Journal of Biomedical Semantics
RDF2Graph a tool to recover, understand and validate the ontology of an RDF resource
Maria Suarez-Diez2  Vitor AP Martins dos Santos1  Peter J Schaap2  Jasper J Koehorst2  Jesse CJ van Dam2 
[1] LifeGlimmer, GmbH, Markelstrasse 38, Berlin, Germany;Laboratory of Systems and Synthetic Biology, Wageningen University, Dreijenplein 10, Wageningen 6703 HB, The Netherlands
关键词: Ontology;    OWL;    SPARQL;    Visualization;    Semantic web;    Databases;    RDF;    Data integration;   
Others  :  1230474
DOI  :  10.1186/s13326-015-0038-9
 received in 2015-04-23, accepted in 2015-09-23,  发布年份 2015
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【 摘 要 】

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.

【 授权许可】

   
2015 van Dam et al.

【 预 览 】
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