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https://ceur-ws.org/Vol-2187/preface.pdf
Valentina Ivanova Patrick Lambrix
Steffen Lohmann Catia Pesquita (Eds.)
Proceedings of the 4th International Workshop on
Visualization and Interaction for Ontologies
and Linked Data
Co-located with ISWC 2018, Monterey, CA, USA, October 8, 2018
Title: Visualization and Interaction for Ontologies and Linked Data (VOILA! 2018)
Editors: Valentina Ivanova, Patrick Lambrix, Steffen Lohmann, Catia Pesquita
CEUR Workshop Proceedings
(CEUR-WS.org)
Copyright c 2018 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
Steffen Lohmann, Fraunhofer IAIS, Germany
Catia Pesquita, LASIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal
Program Committee
Craig Anslow, Victoria University of Wellington, New Zealand
Nikos Bikakis, ATHENA Research Center, Greece
Kārlis Čerāns, University of Latvia, Latvia
Isabel F. Cruz, University of Illinois at Chicago, USA
Aba-Sah Dadzie, Open University, UK
Aidan Delaney, University of Brighton, UK
Marek Dudáš, University of Economics, Czech Republic
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
Eero Hyvönen, Aalto University & University of Helsinki, Finland
Ali Khalili, Vrije Universiteit Amsterdam, The Netherlands
Paul Parsons, Purdue University, USA
Silvio Peroni, University of Bologna, Italy
Emmanuel Pietriga, INRIA Saclay, France
Harald Sack, 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
Gem Stapleton, University of Brighton, UK
Markel Vigo, University of Manchester, UK
Additional Reviewers
Ali Baigelenov
Ya-Hsin Hung
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 Vi-
sualization and Interaction for Ontologies and Linked Data. The fourth edition of VOILA!
is co-located with the 17th International Semantic Web Conference (ISWC 2018) and will
take place as a full day event on October 8, 2018 in Monterey (CA), USA. It will be orga-
nized around scientific paper presentations and discussions, and will be accompanied by
interactive software demonstrations, giving developers a chance to gather feedback from
the community.
The call for papers for VOILA! 2018 attracted 16 submissions in different paper cate-
gories. At least three reviewers were assigned to each submission. Based on the reviews,
we selected 7 contributions for presentation at the workshop in the following categories:
full papers (5), system papers (2).
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 Amrapali Zaveri and
Elena Demidova, the workshop chairs of ISWC 2018, for their continuous support during
the workshop organization.
August 2018 Valentina Ivanova,
Patrick Lambrix,
Steffen Lohmann,
Catia Pesquita
VOILA! 2018
http://voila2018.visualdataweb.org
Contents
Research Papers 1
Graphless Using Statistical Analysis and Heuristics for Visualizing
Large Datasets by Idafen Santana-Perez . . . . . . . . . . . . . . 1
Towards a Uniform User Interface for Editing Data Shapes by Ben
De Meester, Pieter Heyvaert, Anastasia Dimou, Ruben Verborgh 13
A Comparative User Evaluation on Visual Ontology Modeling us-
ing Node-Link Diagrams by Muhammad Rohan Ali Asmat,
Vitalis Wiens, Steffen Lohmann . . . . . . . . . . . . . . . . . . . . 25
WiSP: Weighted Shortest Paths for RDF Graphs by Gonzalo Tar-
tari, Aidan Hogan . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
Combining Faceted Search with Data-analytic Visualizations on
Top of a SPARQL Endpoint by Petri Leskinen, Goki Miyakita,
Mikko Koho, Eero Hyvönen . . . . . . . . . . . . . . . . . . . . . . 53
System Papers 64
Sparqling: painlessly drawing SPARQL queries over Graphol on-
tologies by Sara Di Bartolomeo, Gianluca Pepe, Domenico
Fabio Savo, Valerio Santarelli . . . . . . . . . . . . . . . . . . . . 64
Dataset Dashboard - a SPARQL Endpoint Explorer by Petr Kře-
men, Lama Saeeda, Miroslav Blaško, Michal Med . . . . . . . 70