Visualisation and Exploration of Linked Data using Virtual Reality

Alexander Kellmann, Max Postema, Joris de Keijser, Pjotr Svetachov, Becca Wilson, Esther van Enckevort, M A Swertz*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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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.
Original languageEnglish
Article numberbaae008
Number of pages16
JournalDatabase-The journal of biological databases and curation
Volume2024
Early online date23-Feb-2023
DOIs
Publication statusPublished - 25-Jan-2024

Keywords

  • Linked Data Visualisation
  • RDF
  • Virtual Reality
  • Graph exploration
  • SPARQL
  • Graph2VR

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