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Visualization and exploration of linked data using virtual reality.
Kellmann, Alexander J; Postema, Max; de Keijser, Joris; Svetachov, Pjotr; Wilson, Rebecca C; van Enckevort, Esther J; Swertz, Morris A.
Afiliação
  • Kellmann AJ; Department of Genetics, University of Groningen, Antonius Deusinglaan 1, Groningen, Groningen 9713 AV, The Netherlands.
  • Postema M; Department of Genetics, University Medical Center Groningen, Antonius Deusinglaan 1, Groningen, Groningen 9713 AV, The Netherlands.
  • de Keijser J; Department of Genetics, University Medical Center Groningen, Antonius Deusinglaan 1, Groningen, Groningen 9713 AV, The Netherlands.
  • Svetachov P; Department of Genetics, University Medical Center Groningen, Antonius Deusinglaan 1, Groningen, Groningen 9713 AV, The Netherlands.
  • Wilson RC; Center of information technology, University of Groningen, Nettelbosje 1, Groningen, Groningen 9747 AJ, The Netherlands.
  • van Enckevort EJ; Public Health, Policy & Systems, University of Liverpool, Block B, 1st Floor, Waterhouse Building, 1-5 Dover Street, Liverpool L69 3GL, United Kingdom.
  • Swertz MA; Department of Genetics, University of Groningen, Antonius Deusinglaan 1, Groningen, Groningen 9713 AV, The Netherlands.
Database (Oxford) ; 20242024 Feb 22.
Article em En | MEDLINE | ID: mdl-38554132
ABSTRACT
In this report, we analyse the use of virtual reality (VR) as a method to navigate and explore complex knowledge graphs. Over the past few decades, linked data technologies [Resource Description Framework (RDF) and Web Ontology Language (OWL)] have shown to be valuable to encode such graphs and many tools have emerged to interactively visualize RDF. However, as knowledge graphs get larger, most of these tools struggle with the limitations of 2D screens or 3D projections. Therefore, in this paper, we evaluate the use of VR to visually explore SPARQL Protocol and RDF Query Language (SPARQL) (construct) queries, including a series of tutorial videos that demonstrate the power of VR (see Graph2VR tutorial playlist https//www.youtube.com/playlist?list=PLRQCsKSUyhNIdUzBNRTmE-_JmuiOEZbdH). We first review existing methods for Linked Data visualization and then report the creation of a prototype, Graph2VR. Finally, we report a first evaluation of the use of VR for exploring linked data graphs. Our results show that most participants enjoyed testing Graph2VR and found it to be a useful tool for graph exploration and data discovery. The usability study also provides valuable insights for potential future improvements to Linked Data visualization in VR.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Realidade Virtual / Web Semântica Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Realidade Virtual / Web Semântica Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article