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Design decisions and their implications: An ontology quality perspective
Rostock University, Rostock, Germany.
Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Rostock University, Rostock, Germany.ORCID iD: 0000-0002-7431-8412
2020 (English)In: Perspectives in business informatics research: 19th International Conference on Business Informatics Research, BIR 2020, Vienna, Austria, September 21–23, 2020, Proceedings / [ed] R. A. Buchmann, A. Polini, B. Johansson & D. Karagiannis, Cham: Springer, 2020, p. 111-127Conference paper, Published paper (Refereed)
Abstract [en]

Objective, reproducible and quantifiable measurements based on well-defined metrics are a widespread instrument for quality assurance in engineering disciplines and also in ontology engineering. Ontology metrics allow for the assessment of their quality and the comparison of different versions of the same ontology. We argue that such a comparison and especially the view on the evolutional evolvement bears valuable insights on the effect of explicit and implicit design decisions. This paper examines the use of quality metrics in the evolution of an ontology that is used in an image recognition context in the fashion domain. Overall, 51 incremental versions were analyzed using the OntoMetrics framework by Rostock University. Using 13 selected criteria, the evolution of the ontology is quantified and the effect of design decisions on the analyzed criteria is outlined. The critical assessment of ontology metrics is further used to uncover weak spots in the ontology. These weak spots enabled the deriving of improvement recommendations.

Place, publisher, year, edition, pages
Cham: Springer, 2020. p. 111-127
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 398
Keywords [en]
Ontology metrics, Ontology evaluation, Ontology quality
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hj:diva-50967DOI: 10.1007/978-3-030-61140-8_8ISBN: 978-3-030-61139-2 (print)ISBN: 978-3-030-61140-8 (electronic)OAI: oai:DiVA.org:hj-50967DiVA, id: diva2:1500279
Conference
19th International Conference on Business Informatics Research, BIR 2020, Vienna, Austria, September 21–23, 2020
Available from: 2020-11-11 Created: 2020-11-11 Last updated: 2020-11-11Bibliographically approved

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Sandkuhl, Kurt

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CiteExportLink to record
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  • de-DE
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