Abstract
This publication presents a new concept of the intelligent analysis and interpretation of image-type data. The concept presented is based on a cognitive-semantic model of data learning and interpreting. The application of this model makes it possible to extract significant semantic information from the set of analysed data in order to understand it. It is also possible to execute the stage of reasoning based on the semantic contents of the analysed data. The proposed model for the cognitive analysis and interpretation of data is discussed using the example of a selected class of cognitive categorisation systems - UBIAS (Understanding Based Image Analysis Systems) analysing image-type data.
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Ogiela, L., Tadeusiewicz, R., Ogiela, M.R. (2009). Cognitive Information Systems for Medical Pattern Analysis and Diagnosis Support Technologies. In: Nakamatsu, K., Phillips-Wren, G., Jain, L.C., Howlett, R.J. (eds) New Advances in Intelligent Decision Technologies. Studies in Computational Intelligence, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00909-9_2
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DOI: https://doi.org/10.1007/978-3-642-00909-9_2
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