RDF2Graph a tool to recover, understand and validate the ontology of an RDF resource. Issue 1 (December 2015)

• Record Type: Journal Article
• Authors: van Dam, Jesse; Koehorst, Jasper; Schaap, Peter; Martins dos Santos, Vitor; Suarez-Diez, Maria
• Is Part Of: Journal of biomedical semantics. Volume 6:Issue 1(2015)
• Page Start: 1
• Page End: 12
• Publication Date: 2015-12
• Subjects: Data integration -- RDF -- Databases -- Semantic web -- Visualization -- SPARQL -- OWL -- Ontology; Semantics -- Periodicals; Medicine -- Research -- Periodicals; Biology -- Research -- Periodicals; Computer systems -- Periodicals; Bioinformatics -- Periodicals; 570.285
• DOI: 10.1186/s13326-015-0038-9
• Languages: English
• ISSNs: 2041-1480

Abstract

Abstract 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.