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Design Decisions and Their Implications: An Ontology Quality Perspective

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Perspectives in Business Informatics Research (BIR 2020)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 398))

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Abstract

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.

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Notes

  1. 1.

    The ontology items are named exactly like in the ontology and are therefore not grammatically correct in the context of the given sentences.

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Authors and Affiliations

  1. Rostock University, 18051, Rostock, Germany

    Achim Reiz & Kurt Sandkuhl

Authors
  1. Achim Reiz
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  2. Kurt Sandkuhl
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Correspondence to Kurt Sandkuhl .

Editor information

Editors and Affiliations

  1. Babeș-Bolyai University, Cluj Napoca, Romania

    Robert Andrei Buchmann

  2. University of Camerino, Camerino, Italy

    Andrea Polini

  3. Linköping University, Linköping, Sweden

    Björn Johansson

  4. University of Vienna, Vienna, Austria

    Dimitris Karagiannis

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Reiz, A., Sandkuhl, K. (2020). Design Decisions and Their Implications: An Ontology Quality Perspective. In: Buchmann, R.A., Polini, A., Johansson, B., Karagiannis, D. (eds) Perspectives in Business Informatics Research. BIR 2020. Lecture Notes in Business Information Processing, vol 398. Springer, Cham. https://doi.org/10.1007/978-3-030-61140-8_8

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  • DOI: https://doi.org/10.1007/978-3-030-61140-8_8

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