Cognitive Analysis in Diagnostic DSS-Type IT Systems

  • Lidia Ogiela
  • Ryszard Tadeusiewicz
  • Marek R. Ogiela
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4029)


This paper demonstrates that AI methods – in particular, linguistic mechanisms of semantic meaning reasoning can be applied to the development of intelligent IT systems. They also facilitate an in-depth analysis of the meaning presented in DDS information systems.

This paper also presents the IT mechanisms of object meaning description on selected examples of spinal cord image analysis. The procedures for such semantic reasoning are based on the model of cognitive resonance. These have been applied to the task of interpreting the meaning of selected diagnostic images from the central nervous system as an intelligent analysis module in IT systems. The application presented in this paper is of a research character and it serves the preparation of efficient lesion detection methods applied to a dataset originating from magnetic and resonance examinations of the spinal cord structures.


Spinal Cord Spinal Stenosis Pathological Lesion Cognitive Analysis Semantic Reasoning 
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 2006

Authors and Affiliations

  • Lidia Ogiela
    • 1
  • Ryszard Tadeusiewicz
    • 2
  • Marek R. Ogiela
    • 2
  1. 1.Faculty of ManagementAGH University of Science and TechnologyKrakówPoland
  2. 2.Institute of AutomaticsAGH University of Science and TechnologyPoland

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