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

被引:7
作者
van Dam, Jesse C. J. [1 ]
Koehorst, Jasper J. [1 ]
Schaap, Peter J. [1 ]
dos Santos, Vitor A. P. Martins [1 ,2 ]
Suarez-Diez, Maria [1 ]
机构
[1] Wageningen Univ, Lab Syst & Synthet Biol, NL-6703 HB Wageningen, Netherlands
[2] LifeGlimmer GmbH, Berlin, Germany
关键词
Data integration; RDF; Databases; Semantic web; Visualization; SPARQL; OWL; Ontology;
D O I
10.1186/s13326-015-0038-9
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
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.
引用
收藏
页数:12
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共 7 条
[1]   RDF2Graph a tool to recover, understand and validate the ontology of an RDF resource [J].
Jesse CJ van Dam ;
Jasper J Koehorst ;
Peter J Schaap ;
Vitor AP Martins dos Santos ;
Maria Suarez-Diez .
Journal of Biomedical Semantics, 6
[2]   Method of RDF/RDFS ontology extraction based on graph model [J].
Institute of Command Automation, PLA Univ. of Sci. and Tech., Nanjing 210007, China ;
不详 ;
不详 .
Jiefangjun Ligong Daxue Xuebao, 2007, 2 (123-126)
[3]   LandCover2RDF: An API for Computing the Land Cover of a Geographical Area and Generating the RDF Graph [J].
Dorne, Jordane ;
Aussenac-Gilles, Nathalie ;
Comparot, Catherine ;
Hugues, Romain ;
Trojahn, Cassia .
SEMANTIC WEB: ESWC 2020 SATELLITE EVENTS, 2020, 12124 :73-78
[4]   Large language models for intelligent RDF knowledge graph construction: results from medical ontology mapping [J].
Mavridis, Apostolos ;
Tegos, Stergios ;
Anastasiou, Christos ;
Papoutsoglou, Maria ;
Meditskos, Georgios .
FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2025, 8
[5]   OSMoSys: A Web Interface for Graph-Based RDF Data Visualization and Ontology Browsing [J].
Psyllidis, Achilleas .
ENGINEERING THE WEB IN THE BIG DATA ERA, 2015, 9114 :679-682
[6]   S2X: Graph-Parallel Querying of RDF with GraphX [J].
Schaetzle, Alexander ;
Przyjaciel-Zablocki, Martin ;
Berberich, Thorsten ;
Lausen, Georg .
BIOMEDICAL DATA MANAGEMENT AND GRAPH ONLINE QUERYING, 2016, 9579 :155-168
[7]   DW2RDF4SDG - Ontology Modeling from Multi-Dimensional Cubes for Sustainable Development Goals [J].
Serra, Flavia ;
Delgado, Tatiana .
SISTEMAS & TELEMATICA, 2018, 16 (44) :9-24