Peter Chapman

Peter Chapman

Dr Peter Chapman

Associate Professor

Biography

I am lecturer in the Software Engineering Group in the School of Computing. My research interests are in information visualisation, specifically of set-based data, and formal methods. I am the PI on the EPSRC Grant "Visual Justifications for Ontologies", which investigates whether creating diagrammatic representations of ontology justifications could help ontology engineers repair incoherence.

Roles in the community
Program Chair of Visual Languages and Computing (VLC) 2016Publications Chair and PC member of Visual Languages and Human-Centric Computing (VL/HCC) 2016General co-Chair of Euler Diagrams 2012Set Visualisation and Reasoning (SetVR) steering committee member (2012-2016)
Guest Editor of Journal of Visual Languages and Computing (Special Issue on Euler Diagrams, 2012)

Research Areas

Date


18 results

Diagrammatic Representation and Inference

Conference Proceeding
(2018)
Diagrammatic Representation and Inference. In P. Chapman, G. Stapleton, A. Moktefi, S. Perez-Kriz, & F. Bellucci (Eds.), https://doi.org/10.1007/978-3-319-91376-6

Towards Diagram-Based Editing of Ontologies

Conference Proceeding
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 visu...

Visualizing ALC Using Concept Diagrams

Conference Proceeding
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 cor...

Antipattern comprehension: an empirical evaluation

Conference Proceeding
Hou, T., Chapman, P., & Blake, A. (2016)
Antipattern comprehension: an empirical evaluation. In W. Kuhn, & R. Ferrario (Eds.), 9th International Conference on Formal Ontology in Information Systems (FOIS 2016), (211-224). https://doi.org/10.3233/978-1-61499-660-6-211
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 method...

Measuring perceived clutter in concept diagrams

Conference Proceeding
Hou, T., Chapman, P., & Oliver, I. (2016)
Measuring perceived clutter in concept diagrams. In 2016 IEEE Symposium on Visual Languages and Human-Centric Computinghttps://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 ha...

Visualizing Sets with Linear Diagrams.

Journal Article
Rodgers, P., Stapleton, G., & Chapman, P. (2015)
Visualizing Sets with Linear Diagrams. ACM transactions on computer-human interaction : a publication of the Association for Computing Machinery, 22(6), 1-39. https://doi.org/10.1145/2810012
This paper presents the first design principles that optimize the visualization of sets using linear diagrams. These principles are justified through empirical studies that ev...

Evaluating the Impact of Clutter in Euler Diagrams.

Conference Proceeding
Alqadah, M., Stapleton, G., Howse, J., & Chapman, P. (2014)
Evaluating the Impact of Clutter in Euler Diagrams. In Diagrammatic Representation and Inference: 8th International Conference, Diagrams 2014, Melbourne, VIC, Australia, July 28 – August 1, 2014. Proceedings, (108-122). https://doi.org/10.1007/978-3-662-44043-8_15
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 es...

Visualizing Sets: An Empirical Comparison of Diagram Types.

Conference Proceeding
Chapman, P., Stapleton, G., Rodgers, P., Micallef, L., & Blake, A. (2014)
Visualizing Sets: An Empirical Comparison of Diagram Types. In Diagrammatic Representation and Inference. , (146-160). https://doi.org/10.1007/978-3-662-44043-8_18
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 addre...