Antipattern comprehension: an empirical evaluation

Hou, Tei; Chapman, Peter; Blake, Andrew

Abstract

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 concept diagrams to represent the justification (one diagram for each axiom); and using a merged concept diagram to represent all axioms in the justification. We performed an empirical evaluation of both methods along with a textual representation of the justification using Prot´eg´e. The results were that novice users could both more accurately and more quickly identify an incoherence when using merged diagrams than using multiple diagrams or Prot´eg´e statements.

Citation

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

• Conference Name: 9th International Conference on Formal Ontology in Information Systems
• Start Date: Jul 6, 2016
• End Date: Jul 9, 2016
• Acceptance Date: Apr 15, 2016
• Publication Date: 2016
• Deposit Date: May 2, 2016
• Publicly Available Date: Mar 29, 2017
• Publisher: IOS Press
• Peer Reviewed: Peer Reviewed
• Pages: 211-224
• Series Title: Frontiers in Artificial Intelligence and Applications
• Series ISSN: 1879-8314
• Book Title: 9th International Conference on Formal Ontology in Information Systems (FOIS 2016)
• ISBN: 978-1-61499-659-0, 978-1-61499-660-6,
• DOI: https://doi.org/10.3233/978-1-61499-660-6-211
• Keywords: Evaluation; antipattern; visual
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/9991