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Quantifying Ontology Fitness in OntoElect Using Saturation- and Vote-Based Metrics

  • Conference paper
Information and Communication Technologies in Education, Research, and Industrial Applications (ICTERI 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 412))

Abstract

This paper presents the details of the OntoElect methodology for ontology engineering. These details comprise: (i) the presentation of the objectives with the emphasis on the problems arising when the domain knowledge stakeholder requirements to the developed ontology are elicited; (ii) the elaboration of the ontology engineering workflow and software tools; (iii) the proposal of the formal metrics for the representativeness of the used document corpus based on saturation and the fitness of different ontology elements to those requirements based on the computation of the stakeholder votes. The paper also reports on the set-up and results of our experiment with the document corpus of the ICTERI conference series papers and the ICTERI scope ontology. The available results of this ongoing experiment confirm that the methodological approach of OntoElect is valid.

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Author information

Authors and Affiliations

  1. Department of IT, Zaporozhye National University, 66 Zhukovskogo st., 69063, Zaporozhye, Ukraine

    Olga Tatarintseva & Vadim Ermolayev

  2. Satelliz, 158 Lenina st., P.O. Box 317, 69057, Zaporozhye, Ukraine

    Olga Tatarintseva

  3. MINRES Technologies GmbH, Keltenhof 2, 85579, Neubiberg, Germany

    Brita Keller & Wolf-Ekkehard Matzke

Authors
  1. Olga Tatarintseva
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  2. Vadim Ermolayev
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  3. Brita Keller
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  4. Wolf-Ekkehard Matzke
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Editor information

Editors and Affiliations

  1. Department of Information Technologies, Zaporozhye National University, Zhukovskogo st. 66, 69063, Zaporozhye, Ukraine

    Vadim Ermolayev

  2. Mayr Application Engineering, Alpen-Adria University Klagenfurt, Universitätsstrasse 65, 9020, Klagenfurt, Austria

    Heinrich C. Mayr

  3. Department of Theory and Technology of Programming, Taras Shevchenko National University of Kyiv, 64, Volodymyrska Street, 01601, Kyiv, Ukraine

    Mykola Nikitchenko

  4. Kherson State University, Ukraine

    Aleksander Spivakovsky

  5. School of Mathematics and Mechanics, V.N. Karazin Kharkiv National University, 4, Svobody Sqr., 61022, Kharkiv, Ukraine

    Grygoriy Zholtkevych

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Tatarintseva, O., Ermolayev, V., Keller, B., Matzke, WE. (2013). Quantifying Ontology Fitness in OntoElect Using Saturation- and Vote-Based Metrics. In: Ermolayev, V., Mayr, H.C., Nikitchenko, M., Spivakovsky, A., Zholtkevych, G. (eds) Information and Communication Technologies in Education, Research, and Industrial Applications. ICTERI 2013. Communications in Computer and Information Science, vol 412. Springer, Cham. https://doi.org/10.1007/978-3-319-03998-5_8

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  • DOI: https://doi.org/10.1007/978-3-319-03998-5_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03997-8

  • Online ISBN: 978-3-319-03998-5

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