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