Antipattern Comprehension: An Empirical Evaluation

Tie Hou; Peter Chapman; Andrew Blake

doi:10.3233/978-1-61499-660-6-211

Antipattern Comprehension: An Empirical Evaluation

Tie Hou, Peter Chapman, Andrew Blake

University of Brighton

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-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 language	English
Title of host publication	9th International Conference on Formal Ontology in Information Systems (FOIS 2016)
Place of Publication	Amsterdam
Publisher	IOS Press
Pages	211-224
Number of pages	14
Volume	283
ISBN (Print)	9781614996590
DOIs	https://doi.org/10.3233/978-1-61499-660-6-211
Publication status	Published - 1 Jan 2016
Event	9th International Conference on Formal Ontology in Information Systems (FOIS 2016) - Annecy, France, 6-9 July, 2016 Duration: 1 Jan 2016 → …

Publication series

Name	Frontiers in Artificial Intelligence and Applications

Conference

Conference	9th International Conference on Formal Ontology in Information Systems (FOIS 2016)
Period	1/01/16 → …

Bibliographical note

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10.3233/978-1-61499-660-6-211Licence: Unspecified

FAIA283-0211.pdfFinal published version, 487 KBLicence: CC BY-NC

http://ebooks.iospress.nl/volumearticle/44248Licence: Unspecified

Andrew Blake
- A.L.Blakebrighton.acuk
- School of Arch, Tech and Eng - Principal Lecturer
- Computing and Mathematical Sciences Research Excellence Group
Person: Academic

Cite this

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title = "Antipattern Comprehension: An Empirical Evaluation",

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.",

author = "Tie Hou and Peter Chapman and Andrew Blake",

note = "{\textcopyright} 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.; 9th International Conference on Formal Ontology in Information Systems (FOIS 2016) ; Conference date: 01-01-2016",

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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 ISBN › Conference contribution with ISSN or ISBN › peer-review

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T1 - Antipattern Comprehension: An Empirical Evaluation

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AU - Chapman, Peter

AU - Blake, Andrew

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N2 - 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.

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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DO - 10.3233/978-1-61499-660-6-211

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VL - 283

T3 - Frontiers in Artificial Intelligence and Applications

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T2 - 9th International Conference on Formal Ontology in Information Systems (FOIS 2016)

Y2 - 1 January 2016

ER -

Antipattern Comprehension: An Empirical Evaluation

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Andrew Blake

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