Visualisation and Exploration of Linked Data Using Virtual Reality

Alexander Kellmann; Max Postema; Joris de Keijser; Pjotr Svetachov; Becca Wilson; Esther van Enckevort; Morris A. Swertz

Visualisation and Exploration of Linked Data Using Virtual Reality - a preview of Graph2VR

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

^*Corresponding author for this work

Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI)

Research output: Contribution to conference › Paper › Academic

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Abstract

We have reviewed existing solutions and created a prototype, Graph2VR, to work with graphs in Virtual Reality based on SPARQL queries, with the aim to help scientific applications such as cohort data harmonisation or rare disease human phenotype ontology navigation.

Original language	English
Pages	153-154
Number of pages	2
Publication status	Published - Feb-2023
Event	14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2023 - Basel, Switzerland Duration: 13-Feb-2023 → 16-Feb-2023

Conference

Conference	14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2023
Country/Territory	Switzerland
City	Basel
Period	13/02/2023 → 16/02/2023

Keywords

DotNetRDF
Graph exploration
Linked Data Visualisation
RDF Visualisation
SPARQL
Virtual Reality

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Visualisation and Exploration of Linked Data Using Virtual Reality - a preview of Graph2VRFinal publisher's version, 879 KBLicence: CC BY

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Cite this

Kellmann, A., Postema, M., de Keijser, J., Svetachov, P., Wilson, B., van Enckevort, E., & Swertz, M. A. (2023). Visualisation and Exploration of Linked Data Using Virtual Reality - a preview of Graph2VR. 153-154. Paper presented at 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2023, Basel, Switzerland.

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title = "Visualisation and Exploration of Linked Data Using Virtual Reality - a preview of Graph2VR",

abstract = "We have reviewed existing solutions and created a prototype, Graph2VR, to work with graphs in Virtual Reality based on SPARQL queries, with the aim to help scientific applications such as cohort data harmonisation or rare disease human phenotype ontology navigation.",

keywords = "DotNetRDF, Graph exploration, Linked Data Visualisation, RDF Visualisation, SPARQL, Virtual Reality",

author = "Alexander Kellmann and Max Postema and \{de Keijser\}, Joris and Pjotr Svetachov and Becca Wilson and \{van Enckevort\}, Esther and Swertz, \{Morris A.\}",

note = "Publisher Copyright: {\textcopyright} 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).; 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2023 ; Conference date: 13-02-2023 Through 16-02-2023",

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month = feb,

language = "English",

pages = "153--154",

}

Kellmann, A, Postema, M , de Keijser, J , Svetachov, P, Wilson, B, van Enckevort, E & Swertz, MA 2023, 'Visualisation and Exploration of Linked Data Using Virtual Reality - a preview of Graph2VR', Paper presented at 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2023, Basel, Switzerland, 13/02/2023 - 16/02/2023 pp. 153-154.

Visualisation and Exploration of Linked Data Using Virtual Reality - a preview of Graph2VR. / Kellmann, Alexander; Postema, Max ; de Keijser, Joris et al.
2023. 153-154 Paper presented at 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2023, Basel, Switzerland.

Research output: Contribution to conference › Paper › Academic

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AU - Kellmann, Alexander

AU - Postema, Max

AU - de Keijser, Joris

AU - Svetachov, Pjotr

AU - Wilson, Becca

AU - van Enckevort, Esther

AU - Swertz, Morris A.

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KW - Graph exploration

KW - Linked Data Visualisation

KW - RDF Visualisation

KW - SPARQL

KW - Virtual Reality

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