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The Role of Ontological Models in Pattern Recognition

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Book cover Computer Recognition Systems

Part of the book series: Advances in Soft Computing ((AINSC,volume 30))

Abstract

There are considered the role and applications of ontological models in advanced pattern recognition methods. Formal definition of ontological models, a general taxonomy, and specification of some typical ontological models are presented. Examples of a simple, a composite and an extended ontological model are given. The role of ontological models in composite patterns recognition is described and illustrated by examples.

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Author information

Authors and Affiliations

  1. Institute of Biocybernetics and Biomedical Engineering PAS, 4 Ks. Trojdena Str., 02-109, Warsaw, Poland

    Juliusz L. Kulikowski

Authors
  1. Juliusz L. Kulikowski
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Editor information

Editors and Affiliations

  1. Faculty of Electronics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Marek Kurzyński , Edward Puchała , Michał Woźniak  & Andrzej żołnierek , ,  & 

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© 2005 Springer-Verlag Berlin Heidelberg

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Kulikowski, J.L. (2005). The Role of Ontological Models in Pattern Recognition. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_4

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  • DOI: https://doi.org/10.1007/3-540-32390-2_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25054-8

  • Online ISBN: 978-3-540-32390-7

  • eBook Packages: EngineeringEngineering (R0)

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