Pattern Classifications in Cognitive Informatics - Computational Intelligence Paradigms in Advanced Pattern Classification - page 52

All the above examples of automatic image data analysis demonstrate the
essence of UBIAS cognitive system operation, namely the correct understanding
of the analysed lesion using series of productions defined in the system and the
semantics of the analysed images.
5 Conclusions
Examples of the automatic understanding of image data presented in this chapter
demonstrate the extent to which semantic analysis can be used for cognitive data
analysis problems in cognitive informatics. This type of reasoning systems play
quite a notable role and are quite significant as they use robust formalisms of
linguistic description and analysis of data. These formalisms, based on the formal
grammar presented in this chapter, meet the requirements of an in-depth analysis
and a cognitive interpretation of analysed data sets. Due to the semantic analysis
carried out by UBIAS systems, cognitive systems are becoming increasingly
important in data analysis processes.
Apart from UBIAS systems, other systems of cognitive data analysis are also
being developed, which the Reader can find in publications including [26], [42].
The approach to the subject of cognitive data analysis systems presented in this
chapter is discussed by reference to methods of semantically analysing image-type
data. The essence of this approach is to apply cognitive/interpretation/reasoning
processes in the operation of systems.
Systems can be built based on cognitive and decision-making processes only if
the system will analyse and interpret data as well as conduct the reasoning and
projecting stages using the semantic characteristics of the analysed data. The
semantics of the analysed sets makes in-depth analysis processes possible and at
the same time becomes the starting point for projecting changes that may occur in
the future, thus allowing errors that could occur in the future to be eliminated.
Traditional data analysis systems frequently cannot identify such errors to be
eliminated.
So the characteristic feature which also distinguishes cognitive systems from
others is the process of reasoning on the basis of analysed data and the process of
projecting based on the data analysis conducted.
Acknowledgement. This work has been supported by the National Science Center,
Republic of Poland, under project number N N516 478940.
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