International Workshop on Visualizations and User Interfaces for Knowledge Engineering and Linked Data Analytics (VISUAL2014)

When: November 24, 2014
Where: Linköping, Sweden
Collocated with EKAW2014, 19th International Conference on Knowledge Engineering and Knowledge Management
Workshop URI:

Please fill in our pre-workshop survey if you intend to attend VISUAL!

VISUAL proceedings published!

Motivation and Objectives

With data continuously generated as a result of daily activities within organisations and new data sources (sensor streams, linked datasets, etc.) introduced within knowledge management, the growth of information is unprecedented. Providing knowledge engineers and data analysts with visualizations and well-designed user interfaces can significantly support understanding of the concepts, data instances and relationships of different domains.

The development of appropriate visualizations and user interfaces is a challenging task, given the size and complexity of the information that needs to be displayed and the varied backgrounds of the users. Further challenges emerge from technological developments and diverse application contexts. There is no “one size fits all” solution but the various use cases demand different visualization and interaction techniques. Ultimately, providing better visualizations and user interfaces will foster user engagement and likely lead to higher-quality results in different areas of knowledge engineering and linked data analytics.

This full-day workshop will be divided into two half-day tracks, one in the morning and the other in the afternoon, each focusing on one of the two workshop themes.

Track 1: Visualizations and User Interfaces for Knowledge Engineering

Visualizations and user interfaces are an integral part of knowledge engineering. They help to bridge the gap between domain experts and data management, and are essential to handle the increasing diversity of knowledge that is being modeled in ontologies, ensuring that it is easily accessible to a wide community. As knowledge-based systems and ontologies grow in size and complexity, the demand for comprehensive visualization and optimized interaction also rises.

A number of knowledge visualizations have become available in recent years, with some being already well-established, particularly in the field of ontology development. In other areas of knowledge engineering, such as ontology alignment and debugging, although several tools have recently been developed, few have a user interface, not to mention navigational aids or comprehensive visualization techniques. Other activities, such as data integration, rely on the relationships between the concepts of different ontologies, which not only multiplies the number of objects to be displayed but also compounds the problem with the portrayal of different kinds of relationships between concepts.

Topics of interest in this track include (but are not limited to):

  • visualizations for (large and complex) ontologies
  • user interfaces for ontology alignment and debugging
  • visualizations and user interfaces for non-experts
  • applications of novel interaction techniques (e.g. touch and gesture interaction)
  • user interfaces for mobile knowledge engineering
  • requirements analysis for visualizations in knowledge engineering
  • user interfaces assisting people with disabilities
  • knowledge visualizations for large displays and high resolutions
  • user interfaces for collaborative knowledge engineering
  • case studies of applying visualizations in knowledge engineering
  • user interfaces and visualizations for linked data
  • context-aware visualization and interaction techniques

Track 2: Visualizations and User Interfaces for Linked Data Analytics

New and traditional knowledge practices, digitisation of organisational processes, high performance computing and affordable datastores create an unprecedented amount of data as a part of daily organisational activities, at break-neck speed in a variety of formats. Conventional systems struggle to capture, store and analyze such dynamic and large scale data continuously generated. On its own, raw data has little value, but its value and significance is only unleashed when the data is extracted, processed and interpreted.

Visual Analytics attempts to address this challenge by harmoniously combining the strengths of human processing and electronic data processing. While semi-automated processes result in generating visualisations, humans can use visual processing and interactions to quickly identify trends, patterns and anomalies from large volumes of visual data. The growing challenges of analyzing big data, social media, linked data, and data streams have created an excellent opportunity for research in Visual Analytics.

Topics of interest in this track include (but are not limited to):

  • interactive semantic systems
  • design of interactive systems
  • visual pattern discovery
  • (semi-)automatic hypothesis generation
  • augmented human reasoning
  • novel visualizations of data and metadata
  • visual approaches for semantic similarity measurement
  • exploratory information visualization
  • domain-specific visual analytics
  • interactive systems in business intelligence
  • cognition and sensemaking in visual contexts
  • evaluation of interactive systems

Workshop Program

Please fill in our pre-workshop survey if you intend to attend VISUAL!

09:15 – 09:25: Opening
09:25 – 10:30: Session I: Ontology Visualization (Session Chair: Valentina Ivanova)
09:25 – 09:50: A Vision for Diagrammatic Ontology Engineering (full paper), Gem Stapleton, John Howse, Adrienne Bonnington, Jim Burton
09:50 – 10:15: OntoViBe – An Ontology Visualization Benchmark (full paper), Florian Haag, Steffen Lohmann, Stefan Negru, Thomas Ertl
10:15 – 10:30: Discussion Session I

10:30 – 11:00: Coffee Break

11:00 – 12:30: Session II: User-Oriented Ontology Alignment (Session Chair: Steffen Lohmann)
11:00 – 11:20: What Can the Ontology Describe? Visualizing Local Coverage in PURO Modeler (short paper), Marek Dudas, Tomas Hanzal, Vojtech Svatek
11:20 – 11:45: User Involvement for Large-Scale Ontology Alignment (full paper), Valentina Ivanova, Patrick Lambrix
11:45 – 12:00: Discussion Session II
12:00 – 12:30: Wrap Up Sessions I+II

12:30 – 14:00: Lunch Break

14:00 – 15:00: Session III: Visual Approaches to Linked Data (Session Chair: Valentina Ivanova)
14:00 – 14:25: Sensemaking on Wikipedia by Secondary School Students with SynerScope (full paper), Willem Robert Van Hage, Fernando Nunez-Serrano, Thomas Ploeger, Jesper Hoeksema
14:25 – 14:45: Towards a Visual Annotation Tool for End-User Semantic Content Authoring (short paper), Torgeir Lebesbye, Ahmet Soylu
14:45 – 15:00: Discussion Session III

15:00 – 15:30: Coffee Break

15:30 – 17:00: Session IV: Demo Jam (Session Chair: Steffen Lohmann)
15:30 – 16:30: Impromptu demos (everyone is invited to join and present)
16:30 – 17:00: Wrap Up Sessions III+IV
17:00 – End of Workshop


Accepted Papers

  • A Vision for Diagrammatic Ontology Engineering, Gem Stapleton, John Howse, Adrienne Bonnington and Jim Burton
  • Sensemaking on Wikipedia by Secondary School Students with SynerScope, Willem Robert Van Hage, Thomas Ploeger, Jesper Hoeksema and Fernando Nuñez-Serrano
  • User Involvement for Large-Scale Ontology Alignment, Valentina Ivanova and Patrick Lambrix
  • Towards a Visual Annotation Tool for End-User Semantic Content Authoring, Torgeir Lebesbye and Ahmet Soylu
  • OntoViBe: An Ontology Visualization Benchmark, Florian Haag, Steffen Lohmann, Stefan Negru and Thomas Ertl
  • What Can the Ontology Describe? Visualizing Local Coverage in PURO Modeler, Marek Dudas, Tomáš Hanzal and Vojtěch Svátek

Submission Guidelines

Paper submission and reviewing for this workshop will be electronic via EasyChair. The papers should be written in English, following Springer LNCS format, and be submitted in PDF.

The following types of contributions are welcome:

  • Full research papers (8-12 pages);
  • Experience papers (8-12 pages);
  • Position papers (6-8 pages);
  • Short research papers (4-6 pages);
  • System papers (4-6 pages).

Accepted papers will be published as a volume in the CEUR Workshop Proceedings series.

Important Dates

  • Submission: September 30, 2014
  • Notification: October 21, 2014
  • Camera-ready: November 11, 2014


Note that workshop attendees cannot register for the workshop only, but need to register for the main conference, as well.


Valentina Ivanova, Linköping University, Sweden
Tomi Kauppinen, Aalto University, Finland and University of Bremen, Germany
Steffen Lohmann, University of Stuttgart, Germany
Suvodeep Mazumdar, The University of Sheffield, UK
Catia Pesquita, University of Lisbon, Portugal
Toomas Timpka, Linköping University, Sweden
Kai Xu, Middlesex University, UK

Programme Committee

Simon Attfield, Middlesex University
Amparo Elizabeth Cano Basave, KMI, The Open University
Marius Brade, TU Dresden
Isabel F. Cruz
, University of Illinois at Chicago
Aba-Sah Dadzie, University of Birmingham
Anna Lisa Gentile, The University of Sheffield
Willem Robert van Hage, SynerScope B.V.
Eero Hyvönen, Aalto University & University of Helsinki
Neesha Kodagoda, Middlesex University
Bum Chul Kwon, University of Konstanz
Patrick Lambrix, Linköping University
Enrico Motta, KMI, The Open University
Paul Mulholland, KMI, The Open University
Stefan Negru, A. I. Cuza University of Iasi
Heiko Paulheim, University of Mannheim
Silvio Peroni, University of Bologna & CNR-ISTC
Chris Rooney, Middlesex University
Harald Sack, HPI, University of Potsdam
Gem Stapleton, University of Brighton
Margaret-Anne Storey, University of Victoria
Vojtěch Svátek, University of Economics, Prague
Cagatay Turkay, City University
Stuart Wrigley, The University of Sheffield
Leishi Zhang, Middlesex University