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https://ceur-ws.org/Vol-2778/preface.pdf
Valentina Ivanova Patrick Lambrix
Catia Pesquita Vitalis Wiens (Eds.)
Proceedings of the 5th International Workshop on
Visualization and Interaction for Ontologies
and Linked Data
Co-located with ISWC 2020, Virtual (originally planned in Athens,
Greece), November 2, 2020
Title: Visualization and Interaction for Ontologies and Linked Data (VOILA! 2020)
Editors: Valentina Ivanova, Patrick Lambrix, Catia Pesquita, Vitalis Wiens
ISSN: 1613-0073
CEUR Workshop Proceedings
(CEUR-WS.org)
Copyright © 2020 for the individual papers by the papers’ authors. Copying permitted for
private and academic purposes. This volume is published and copyrighted by its editors.
Organizing Committee
Valentina Ivanova, RISE Research Institutes of Sweden, Sweden
Patrick Lambrix, Linköping University, Sweden
Catia Pesquita, LASIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal
Vitalis Wiens, L3S, TIB, & Leibniz University Hanover, Germany
Program Committee
Kārlis Čerāns, University of Latvia, Latvia
Aba-Sah Dadzie, Open University, UK
Anastasia Dimou, Ghent University, Belgium
Roberto García, Universitat de Lleida, Spain
Alain Giboin, Université Côte d’Azur, Inria, CNRS, I3S, France
Anika Groß, University of Leipzig, Germany
Ali Hasnain, Insight Centre for Data Analytics, Ireland
Emmanuel Pietriga, INRIA Saclay, France
Harald Sack, FIZ Karlsruhe, Leibniz Institute for Information Infrastructure
& KIT Karlsruhe, Germany
Daniel Schwabe, Pontifical Catholic University of Rio de Janeiro, Brazil
Kamran Sedig, University of Western Ontario, Canada
Ahmet Soylu, Norwegian University of Science and Technology, Norway
Markel Vigo, University of Manchester, UK
Additional Reviewers
Fabian Hoppe
Tabea Tietz
Preface
The Semantic Web enables intelligent agents to create knowledge by interpreting, integrat-
ing and drawing inferences from the abundance of data at their disposal. It encompasses
approaches and techniques for expressing and processing data in machine-readable for-
mats. 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, edit-
ing, exploring, integrating, etc., of semantic content have not received much attention yet.
The size and complexity of ontologies and Linked Data 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 repre-
sented by ontologies and Linked Data.
Ontology visualization is not a new topic and a number of approaches have become avail-
able in recent years, with some being already well-established, particularly in the field of
ontology modeling. In other areas of ontology engineering, such as ontology alignment
and debugging, although several tools have recently been developed, few provide a graph-
ical 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 Linked Data community is the visualization of multidimensional datasets to pro-
vide 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, rang-
ing 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. The evaluation of such interfaces and techniques poses
another relevant concern given the specific challenges of visualizing data imbued with se-
mantic complexity. Ultimately, providing better user interfaces, visual representations and
interaction techniques will foster user engagement and likely lead to higher quality results
in different applications employing ontologies and proliferate the consumption of Linked
Data.
These and related issues are addressed by the VOILA! workshop series concerned with
Visualization and Interaction for Ontologies and Linked Data. The fifth edition of VOILA!
is co-located with the 19th International Semantic Web Conference (ISWC 2020) and took
place as a half-day virtual event on November 2, 2020. It was organized around scientific
paper presentations and discussions.
The call for papers for VOILA! 2020 attracted 9 submissions in different paper categories.
At least three reviewers were assigned to each submission. Based on the reviews, we se-
lected 7 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 Sabrina Kirrane and
Satya S. Sahoo, the workshop chairs of ISWC 2020, for their continuous support during
the workshop organization.
November 2020 Valentina Ivanova,
Patrick Lambrix,
Catia Pesquita,
Vitalis Wiens
VOILA! 2020
http://voila2020.visualdataweb.org
Contents
A Comparative Study of State-of-The-Art Linked Data Visualiza-
tion Tools by Federico Desimoni, Nikos Bikakis, Laura Po,
George Papastefanatos . . . . . . . . . . . . . . . . . . . . . . . . . 1
User-Centered Design for Knowledge Imbalance Analysis: A Case
Study of ProWD by Nadyah Hani Ramadhana, Fariz Darari,
Panca O. Hadi Putra, Werner Nutt, Simon Razniewski, Refo
Ilmiya Akbar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
Towards Designing a Tool For Understanding Proofs in Ontologies
through Combined Node-Link Diagrams by Tamara Flemisch,
Ricardo Langner, Christian Alrabbaa, Raimund Dachselt . . . 28
A real-time visual dashboard for Wikidata edits by Damien Graux,
Fabrizio Orlandi, Brian Lynch, Isobel Mahon, Odhran Mullen,
Alex Mahon, Flora Molnar, Lexes Mantiquilla . . . . . . . . . 41
ChImp: Visualizing Ontology Changes and their Impact in Protégé
by Romana Pernisch, Mirko Serbak, Daniele Dell’Aglio and
Abraham Bernstein . . . . . . . . . . . . . . . . . . . . . . . . . . . 47
LogVis: Graph-Assisted Visual Analysis of Equipment Logs by
Tugba Kulahcioglu, Dmitriy Fradkin, Ayse Parlak and Alexan-
der Belkov . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
The Semantic Combining for Exploration of Environmental and
Disease data dashboard for Clinician Researchers by Albert
Navarro-Gallinad, Alan Meehan and Declan O’Sullivan . . . 73