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All Outputs (12)

Hoop Diagrams: A Set Visualization Method (2024)
Presentation / Conference Contribution
Rodgers, P., Chapman, P., Blake, A., Nollenburg, M., Wallinger, M., & Dobler, A. (2024, September). Hoop Diagrams: A Set Visualization Method. Presented at 14th International Conference on the Theory and Application of Diagrams, Munster, Germany

We introduce Hoop Diagrams, a new visualization technique for set data. Hoop Diagrams are a circular visualization with hoops representing sets and sectors representing set intersections. We present an interactive tool for drawing Hoop Diagrams and d... Read More about Hoop Diagrams: A Set Visualization Method.

Evaluating Colour in Concept Diagrams (2022)
Presentation / Conference Contribution
McGrath, S., Blake, A., Stapleton, G., Touloumis, A., Chapman, P., Jamnik, M., & Shams, Z. (2022, September). Evaluating Colour in Concept Diagrams. Presented at International Conference on the Theory and Application of Diagrams, Rome

This paper is the first to establish the impact of colour on users' ability to interpret the informational content of concept diagrams, a logic designed for ontology engineering. Motivation comes from results for Euler diagrams, which form a fragment... Read More about Evaluating Colour in Concept Diagrams.

Interactivity in Linear Diagrams (2021)
Presentation / Conference Contribution
Chapman, P. (2021, September). Interactivity in Linear Diagrams. Presented at Diagrams: International Conference on Theory and Application of Diagrams, Online

Linear diagrams have been shown to be an effective method for representing set-based data. Moreover, design principles have been empirically developed that, when followed, improve the efficacy of linear diagrams. These principles are task-independent... Read More about Interactivity in Linear Diagrams.

Diagrammatic Representation and Inference: 11th International Conference, Diagrams 2020, Tallinn, Estonia, August 24–28, 2020, Proceedings (2020)
Presentation / Conference Contribution
(2020, August). Diagrammatic Representation and Inference: 11th International Conference, Diagrams 2020, Tallinn, Estonia, August 24–28, 2020, Proceedings. Presented at Diagrams: International Conference on Theory and Application of Diagrams, Tallinn, Estonia

This book constitutes the refereed proceedings of the 11th International Conference on the Theory and Application of Diagrams, Diagrams 2020, held in Tallinn, Estonia, in August 2020.* The 20 full papers and 16 short papers presented together with... Read More about Diagrammatic Representation and Inference: 11th International Conference, Diagrams 2020, Tallinn, Estonia, August 24–28, 2020, Proceedings.

Towards Diagram-Based Editing of Ontologies (2018)
Presentation / Conference Contribution
Chapman, P., & Roberts, W. (2018). Towards Diagram-Based Editing of Ontologies. In Diagrammatic Representation and Inference (699-703). https://doi.org/10.1007/978-3-319-91376-6_62

Ontology creation and editing involves multiple stakeholders, not all of whom may be mathematically trained. Whilst ontology editors, such as Protege, are extensible with visualisation tools to enhance understanding of the ontology, these tools are s... Read More about Towards Diagram-Based Editing of Ontologies.

Visualizing ALC Using Concept Diagrams (2018)
Presentation / Conference Contribution
Stapleton, G., Delaney, A., Compton, M., & Chapman, P. (2018). Visualizing ALC Using Concept Diagrams. . https://doi.org/10.1007/978-3-319-78102-0_6

This paper addresses the problem of how to visualize axioms from ALC using concept diagrams. We establish that 66.4% of OWL axioms defined for ontologies in the Manchester corpus are formulated over ALC, demonstrating the significance of considering... Read More about Visualizing ALC Using Concept Diagrams.

Antipattern comprehension: an empirical evaluation (2016)
Presentation / Conference Contribution
Hou, T., Chapman, P., & Blake, A. (2016, July). Antipattern comprehension: an empirical evaluation. Presented at 9th International Conference on Formal Ontology in Information Systems

Comprehension of justifications is known to be difficult for even experienced ontology engineers, and much more so for other stakeholders. In this paper, we present two methods for displaying justifications using concept diagrams: using multiple conc... Read More about Antipattern comprehension: an empirical evaluation.

Measuring perceived clutter in concept diagrams (2016)
Presentation / Conference Contribution
Hou, T., Chapman, P., & Oliver, I. (2016). Measuring perceived clutter in concept diagrams. In 2016 IEEE Symposium on Visual Languages and Human-Centric Computing. https://doi.org/10.1109/vlhcc.2016.7739661

Clutter in a diagram can be broadly defined as how visually complex the diagram is. It may be that different users perceive clutter in different ways, however. Moreover, it has been shown that, for certain types of diagrams and tasks, an increase in... Read More about Measuring perceived clutter in concept diagrams.

Evaluating the Impact of Clutter in Euler Diagrams. (2014)
Presentation / Conference Contribution
Alqadah, M., Stapleton, G., Howse, J., & Chapman, P. (2014, July). Evaluating the Impact of Clutter in Euler Diagrams

Euler diagrams, used to visualize data and as a basis for visual languages, are an effective representation of information, but they can become cluttered. Previous research established a measure of Euler diagram clutter, empirically shown to correspo... Read More about Evaluating the Impact of Clutter in Euler Diagrams..

Visualizing Sets: An Empirical Comparison of Diagram Types. (2014)
Presentation / Conference Contribution
Chapman, P., Stapleton, G., Rodgers, P., Micallef, L., & Blake, A. (2014, July). Visualizing Sets: An Empirical Comparison of Diagram Types. Presented at 8th International Conference on Theory and Application of Diagrams: Diagrams 2014, Melbourne, VIC, Australia

There are a range of diagram types that can be used to visualize sets. However, there is a significant lack of insight into which is the most effective visualization. To address this knowledge gap, this paper empirically evaluates four diagram type... Read More about Visualizing Sets: An Empirical Comparison of Diagram Types..