Antipattern Comprehension: An Empirical Evaluation

Tie Hou, Peter Chapman, Andrew Blake

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNResearchpeer-review

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.
Original languageEnglish
Title of host publication9th International Conference on Formal Ontology in Information Systems (FOIS 2016)
Place of PublicationAmsterdam
PublisherIOS Press
Pages211-224
Number of pages14
Volume283
ISBN (Print)9781614996590
DOIs
Publication statusPublished - 1 Jan 2016
Event9th International Conference on Formal Ontology in Information Systems (FOIS 2016) - Annecy, France, 6-9 July, 2016
Duration: 1 Jan 2016 → …

Publication series

NameFrontiers in Artificial Intelligence and Applications

Conference

Conference9th International Conference on Formal Ontology in Information Systems (FOIS 2016)
Period1/01/16 → …

Fingerprint

Ontology
Engineers

Bibliographical note

© 2016 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License.

Cite this

Hou, T., Chapman, P., & Blake, A. (2016). Antipattern Comprehension: An Empirical Evaluation. In 9th International Conference on Formal Ontology in Information Systems (FOIS 2016) (Vol. 283, pp. 211-224). (Frontiers in Artificial Intelligence and Applications). Amsterdam: IOS Press. https://doi.org/10.3233/978-1-61499-660-6-211
Hou, Tie ; Chapman, Peter ; Blake, Andrew. / Antipattern Comprehension: An Empirical Evaluation. 9th International Conference on Formal Ontology in Information Systems (FOIS 2016). Vol. 283 Amsterdam : IOS Press, 2016. pp. 211-224 (Frontiers in Artificial Intelligence and Applications).
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Hou, T, Chapman, P & Blake, A 2016, Antipattern Comprehension: An Empirical Evaluation. in 9th International Conference on Formal Ontology in Information Systems (FOIS 2016). vol. 283, Frontiers in Artificial Intelligence and Applications, IOS Press, Amsterdam, pp. 211-224, 9th International Conference on Formal Ontology in Information Systems (FOIS 2016), 1/01/16. https://doi.org/10.3233/978-1-61499-660-6-211

Antipattern Comprehension: An Empirical Evaluation. / Hou, Tie; Chapman, Peter; Blake, Andrew.

9th International Conference on Formal Ontology in Information Systems (FOIS 2016). Vol. 283 Amsterdam : IOS Press, 2016. p. 211-224 (Frontiers in Artificial Intelligence and Applications).

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNResearchpeer-review

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AB - 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.

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Hou T, Chapman P, Blake A. Antipattern Comprehension: An Empirical Evaluation. In 9th International Conference on Formal Ontology in Information Systems (FOIS 2016). Vol. 283. Amsterdam: IOS Press. 2016. p. 211-224. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-61499-660-6-211