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Pattern Recognition Driven by Domain Ontologies

  • Juliusz L. Kulikowski
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 57)

Summary

The idea of using ontological models as a source of knowledge necessary to construct composite, multi-step pattern recognition procedures is presented in the paper. Special attention is paid to the structure of pattern recognition processes as sequences of decisions forming paths in bi-partite graphs describing pattern recognition networks. It is shown that such processes correspond to multi-step pattern recognition procedures described in literature, as well as they may describe more general classes of pattern recognition procedures. Construction of a multi-step pattern recognition procedure aimed at extraction of information about moving objects is illustrated by an example.

Keywords

Domain Ontology Switching Operation Ontological Model Conditional Probability Distribution Pattern Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Juliusz L. Kulikowski
    • 1
  1. 1.Institute of Biocybernetics and Biomedical EngineeringPolish Academy of SciencesWarsawPoland

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