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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>Baltimore, USA, November</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Visualization</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Interaction for Ontologies</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Linked Data</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Knowledge Graphs</string-name>
        </contrib>
      </contrib-group>
      <pub-date>
        <year>2024</year>
      </pub-date>
      <volume>12</volume>
      <issue>2024</issue>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Proceedings of the 9th International Workshop on
Title: Visualization and Interaction for Ontologies, Linked Data and Knowledge Graphs
(VOILA! 2024)
ISSN: 1613-0073
CEUR Workshop Proceedings
(CEUR-WS.org)
Copyright © 2024 for the individual papers by the papers’ authors. Copyright © 2024 for
the volume as a collection by its editors. This volume and its papers are published under
the Creative Commons License Attribution 4.0 International (CC BY 4.0).</p>
    </sec>
    <sec id="sec-2">
      <title>Organizing Committee</title>
    </sec>
    <sec id="sec-3">
      <title>Program Committee</title>
    </sec>
    <sec id="sec-4">
      <title>Additional Reviewer</title>
      <p>Ebrahim Norouzi, Leibniz Institute for Information Infrastructure, Germany
The Semantic Web enables intelligent agents to create knowledge by interpreting,
integrating and drawing inferences from the abundance of data at their disposal. It
encompasses approaches and techniques for expressing and processing data in
machinereadable formats. All these tasks demand a human-in-the-loop; without them, the great
vision of the Semantic Web would hardly be achieved. Meanwhile, visual interfaces for
modeling, editing, exploring, integrating, etc., of semantic content have not received
much attention yet.</p>
      <p>The size and complexity of Ontologies, Linked Data and Knowledge Graphs in the
Semantic Web constantly grows and the diverse backgrounds of the users and application
areas multiply at the same time. Providing users with visual representations and intuitive
interaction techniques can significantly aid the exploration and understanding of the
domains and knowledge represented by Ontologies, Linked Data and Knowledge Graphs.
Visualizing Ontologies, Linked Data or Knowledge Graphs is not a new topic and a
number of approaches have become available in recent years, with some being already
wellestablished, particularly in the field of ontology modeling. In other areas of ontology
engineering, such as ontology alignment and debugging, although several tools have been
developed, few provide a graphical user interface, not to mention navigational aids or
comprehensive visualization and interaction techniques.</p>
      <p>In the presence of a huge network of interconnected resources, one of the challenges
faced by the Semantic Web community is the visualization of multidimensional datasets
to provide for eficient overview, exploration and querying tasks, to mention just a few.
With the focus shifting from a Web of Documents to a Web of Data, changes in the
interaction paradigms are in demand as well. Novel approaches also need to take into
consideration the technological challenges and opportunities given by new interaction
contexts, ranging from mobile, touch, and gesture interaction to visualizations on large
displays, and encompassing highly responsive web applications.</p>
      <p>There is no one-size-fits-all solution but diferent use cases demand diferent
visualization and interaction techniques. Ultimately, providing better user interfaces, visual
representations and interaction techniques will foster user engagement and likely lead to
higher quality results in diferent applications employing semantics, and proliferate the
consumption of Ontologies, Linked Data and Knowledge Graphs.</p>
      <p>These and related issues are addressed by the VOILA! workshop series concerned with
Visualization and Interaction for Ontologies, Linked Data and Knowledge Graphs. The ninth
edition of VOILA! was co-located with the 23rd International Semantic Web Conference
(ISWC 2024) and took place as a half-day event on November 12, 2024. It was organized
around scientific paper presentations and discussions.</p>
      <p>The call for papers for VOILA! 2024 attracted 7 submissions in diferent paper categories.
Three reviewers were assigned to each submission. Based on the reviews, we selected 6
contributions for presentation at the workshop.</p>
      <p>We thank all authors for their submissions and all members of the VOILA! program
committee for their useful reviews and comments. We are also grateful to Irene Celino and
Raghava Mutharaju, the workshop chairs of ISWC 2024, for their continuous support
during the workshop organization.</p>
      <p>September 2024</p>
      <p>Bo Fu,
Patrick Lambrix,</p>
      <p>Huanyu Li,
Susana Nunes,
Catia Pesquita
VOILA! 2024
http://voila-workshop.github.io/2024/</p>
    </sec>
    <sec id="sec-5">
      <title>Regular papers</title>
      <p>1
2
78</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          <article-title>KGSnap! in Practice: a Block-based Programming Environment for Enabling Knowledge Graph Literacy by Alessia Antelmi, Vincenzo Ofertucci, Maria Angela Pellegrino 79 Customizable knowledge graph visualization using the Whyis Knowledge Explorer by Jamie P. McCusker</article-title>
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          <article-title>The Knowledge Graph Explorer for the Virtual Record Treasury of Ireland by Alex Randles</article-title>
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</article>