By Lidia Ogiela
The improvement of computing device technological know-how is now so quick that we, the readers, in-creasingly obtain know-how information approximately new suggestions and purposes which quite often straddle the border among the true and the digital worlds. laptop technology is usually the realm within which cognitive technological know-how is witnessing a renaissance, be-cause its mixture with technical sciences has given beginning to a large medical self-discipline referred to as cognitive informatics. And it truly is this self-discipline which has develop into the most subject of this monograph, that's additionally to function a type of consultant to cognitive informatics difficulties.
This publication is the results of paintings on structures for the cognitive research and inter-pretation of assorted info. the aim of such an analytical procedure is to teach that for an in-depth research of information, the layers of semantics contained in those units needs to be taken under consideration. The interdisciplinary nature of the suggestions proposed signifies that the topic of cognitive platforms forming a part of cognitive informatics turns into a brand new problem for the learn and alertness paintings performed.
The authors of this monograph wish that it'll advisor Readers on a fascinating and actual trip during the intricacies of data and cognitive technology.
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Additional info for Advances in Cognitive Information Systems
Machine understanding of the analysed medical image can be used as an example of a task requiring in-depth, cognitive data analysis. The entire process leading to understanding the image is extremely complex and its individual phases are inseparable from and interdependent on one another. g. the straightening transform). 4 Semantic Categorisation 49 Fig. 21. Pre-processing in the process of understanding the analysed medical image The presented approach to the analysis is a concept aimed at the semantic interpretation of medical images , , .
The last stage – speaker classification – boils down to selecting the appropriate classification methods and classifiers. Speech and speaker recognition are complex processes and even if they appear independent, they have certain joint characteristics and feature some common challenges. The latter certainly include developing a comprehensive speech recognition system for our mother tongue, developing a system recognising both continuous speech and separated words, as well as designing integrated speech recognition systems combined with dialogue systems.
13. A clear majority of the above semantic analysis stages deals with the data understanding process, since beginning with the syntactic analysis conducted using the formal grammar defined in the system, there are stages aimed at identifying the analysed data with particular focus on its semantics (the meaning it contains). The stages of recognition itself become the starting point for further stages, referred to as the cognitive analysis. This is why the understanding process as such requires the application of feedback during which the features of the analysed data are compared to expectations which the system has generated from its expert knowledge base.