Evidence map›Paper›PMID 38554132›Full record

ArticleDatabase : the journal of biological databases and curation2024

Visualization and exploration of linked data using virtual reality.

Alexander J Kellmann, Max Postema, Joris de Keijser, Pjotr Svetachov, Rebecca C Wilson, Esther J van Enckevort, Morris A Swertz

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Database : the journal of biological databases and curation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Alexander J KellmannDepartment of Genetics, University of Groningen, Antonius Deusinglaan 1, Groningen, Groningen 9713 AV, The Netherlands.ORCID 0000-0001-6108-5552
Max PostemaDepartment of Genetics, University Medical Center Groningen, Antonius Deusinglaan 1, Groningen, Groningen 9713 AV, The Netherlands.
Joris de KeijserDepartment of Genetics, University Medical Center Groningen, Antonius Deusinglaan 1, Groningen, Groningen 9713 AV, The Netherlands.
Pjotr SvetachovCenter of information technology, University of Groningen, Nettelbosje 1, Groningen, Groningen 9747 AJ, The Netherlands.
Rebecca C WilsonPublic Health, Policy & Systems, University of Liverpool, Block B, 1st Floor, Waterhouse Building, 1-5 Dover Street, Liverpool L69 3GL, United Kingdom.ORCID 0000-0003-2294-593X
Esther J van EnckevortDepartment of Genetics, University of Groningen, Antonius Deusinglaan 1, Groningen, Groningen 9713 AV, The Netherlands.ORCID 0000-0002-2440-3993
Morris A SwertzDepartment of Genetics, University of Groningen, Antonius Deusinglaan 1, Groningen, Groningen 9713 AV, The Netherlands.ORCID 0000-0002-0979-3401

Funding

Medical Research Council MR/S003959/2
6 · The paper itself

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.

Indexed as

Semantic WebVirtual RealityDatabases, FactualHumansLanguage

Identifiers

PMID38554132
PMCPMC11184448

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.