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https://ceur-ws.org/Vol-3773/preface.pdf
Bo Fu
Patrick Lambrix
Huanyu Li
Susana Nunes
Catia Pesquita (Eds.)
Proceedings of the 9th International Workshop on
Visualization and Interaction
for
Ontologies, Linked Data and Knowledge Graphs
Co-located with ISWC 2024, Baltimore, USA, November 12, 2024.
CEUR
ceur-ws.org
Workshop ISSN 1613-0073
Proceedings
Title: Visualization and Interaction for Ontologies, Linked Data and Knowledge Graphs
(VOILA! 2024)
Editors: Bo Fu, Patrick Lambrix, Huanyu Li, Susana Nunes, Catia Pesquita
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).
Organizing Committee
Bo Fu, California State University Long Beach, USA
Patrick Lambrix, Linköping University, Sweden
Huanyu Li, Linköping University, Sweden
Susana Nunes, LASIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal
Catia Pesquita, LASIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal
Program Committee
Mina Abd Nikooie Pour, Linköping University, Sweden
Ali Hasnain, Royal College of Surgeon, Ireland
Kārlis Čerāns, University of Latvia, Latvia
Anika Gross, Anhalt University of Applied Sciences, Germany
Mayank Kejriwal, University of Southern California, USA
Ying Li, Linköping University, Sweden
Declan O’Sullivan, Trinity College Dublin, Ireland
Evan Patton, Massachusetts Institute of Technology, USA
Emmanuel Pietriga, INRIA, France
Harald Sack, FIZ Karlsruhe, Leibniz Institute for Information Infrastructure
& KIT Karlsruhe, Germany
Ahmet Soylu, OsloMet – Oslo Metropolitan University, Norway
Markel Vigo, The University of Manchester, UK
Additional Reviewer
Ebrahim Norouzi, Leibniz Institute for Information Infrastructure, Germany
Preface
The Semantic Web enables intelligent agents to create knowledge by interpreting, in-
tegrating and drawing inferences from the abundance of data at their disposal. It en-
compasses approaches and techniques for expressing and processing data in machine-
readable 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.
The size and complexity of Ontologies, Linked Data and Knowledge Graphs in the Se-
mantic 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 do-
mains and knowledge represented by Ontologies, Linked Data and Knowledge Graphs.
Visualizing Ontologies, Linked Data or Knowledge Graphs is not a new topic and a num-
ber of approaches have become available in recent years, with some being already well-
established, particularly in the field of ontology modeling. In other areas of ontology en-
gineering, 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.
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 efficient 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.
There is no one-size-fits-all solution but different use cases demand different visualiza-
tion and interaction techniques. Ultimately, providing better user interfaces, visual rep-
resentations and interaction techniques will foster user engagement and likely lead to
higher quality results in different applications employing semantics, and proliferate the
consumption of Ontologies, Linked Data and Knowledge Graphs.
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.
The call for papers for VOILA! 2024 attracted 7 submissions in different paper categories.
Three reviewers were assigned to each submission. Based on the reviews, we selected 6
contributions for presentation at the workshop.
We thank all authors for their submissions and all members of the VOILA! program com-
mittee 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.
September 2024 Bo Fu,
Patrick Lambrix,
Huanyu Li,
Susana Nunes,
Catia Pesquita
VOILA! 2024
http://voila-workshop.github.io/2024/
Contents
Regular papers 1
Vertical Context of Geographic Locations: An Empirical Compar-
ison of Three Visualization Approaches
by Prasad Madushanka, Auriol Degbelo . . . . . . . . . . . . . . . 2
Customizable knowledge graph visualization using the Whyis
Knowledge Explorer
by Jamie P. McCusker . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
Evaluating InterDev: A FAIR Platform for International Develop-
ment Data
by Matt Murtagh-White, P.J. Wall, Declan O’Sullivan . . . . . . 35
The Knowledge Graph Explorer for the Virtual Record Treasury
of Ireland
by Alex Randles, Lucy McKenna, Lynn Kilgallon, Beyza Yaman,
Peter Crooks, Declan O’Sullivan . . . . . . . . . . . . . . . . . . . . 47
Evaluating the Knowledge Graph Editor of the Virtual Record
Treasury of Ireland
by Alex Randles, Lucy McKenna, Lynn Kilgallon, Beyza Yaman,
Peter Crooks, Declan O’Sullivan . . . . . . . . . . . . . . . . . . . . 62
Demo paper 78
KGSnap! in Practice: a Block-based Programming Environment
for Enabling Knowledge Graph Literacy
by Alessia Antelmi, Vincenzo Offertucci, Maria Angela Pellegrino 79