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      <title-group>
        <article-title>Visualisation and Exploration of Linked Data Using Virtual Reality - a preview of Graph2VR</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Alexander Kellmann</string-name>
          <email>a.j.kellmann@umcg.nl</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Max Postema</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Joris de Keijser</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Pjotr Svetachov</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Becca Wilson</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Esther van Enckevort</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Morris A. Swertz</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Linked Data Visualisation, RDF Visualisation</institution>
          ,
          <addr-line>Virtual Reality, Graph exploration, SPARQL, DotNetRDF</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>University Medical Center Groningen</institution>
          ,
          <addr-line>Groningen</addr-line>
          ,
          <country country="NL">The Netherlands</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>University of Groningen</institution>
          ,
          <addr-line>Groningen</addr-line>
          ,
          <country country="NL">The Netherlands</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>University of Liverpool</institution>
          ,
          <addr-line>Liverpool</addr-line>
          ,
          <country country="UK">United Kingdom</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2023</year>
      </pub-date>
      <fpage>13</fpage>
      <lpage>16</lpage>
      <abstract>
        <p>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. The 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2023, Feb ∗Corresponding author. 0000-0002-0979-3401 (M. A. Swertz) 0000-0001-6108-5552 (A. Kellmann); 0000-0003-2294-593X (B. Wilson); 0000-0002-2440-3993 (E. v. Enckevort);</p>
      </abstract>
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    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>Linked Data is a best practice method to share and reuse data, in particular complex knowledge
graphs. Visual processing of information and structures in large graphs comes naturally to
people, and so development of tools for the visualisation of Linked Data has become a field
of research interest in recent years. Graph2VR is an explorative study on how visualization
of Linked Data in Virtual Reality as 3D graphs might change/improve the way the user can
interact with semantic data graphs.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Results</title>
      <p>We have surveyed existing semantic web and VR visualisation tools. We have implemented
a working prototype that enables semantic graph navigation. And we did a survey where 34
human test subjects used the prototype to explore semantic data graphs using VR. Figure 1
shows a screenshot of Graph2VR after a SPARQL query was executed. The natural virtual
environment ofers another dimension and therefore more space to visualize graphs.</p>
    </sec>
    <sec id="sec-3">
      <title>3. Future works</title>
      <p>Graph2VR is currently undergoing final evaluation and user testing in order to quantify the
usability of the software, awaiting write-up of the results in a full research paper. At publication,
the Graph2VR prototype software will be made open source.</p>
    </sec>
    <sec id="sec-4">
      <title>Acknowledgments</title>
      <p>T h i s work was s u p p o r t e d by EUCAN− c o n n e c t , a f e d e r a t e d FAIR
p l a t f o r m e n a b l i n g l a r g e − s c a l e a n a l y s i s o f high − v a l u e c o h o r t
d a t a c o n n e c t i n g Europe and Canada i n p e r s o n a l i s e d h e a l t h .
T h i s p r o j e c t r e c e i v e d f u n d i n g from t h e European Union ’ s
Ho ri z on 2 0 2 0 r e s e a r c h and i n n o v a t i o n programme under g r a n t
a g r e e m e n t No 8 2 4 9 8 9 .</p>
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