Automatic data understanding in human-computer intelligent communication

Władysław Homenda (Faculty of Mathematics and Information Science) homenda >at>

Description: The attention is focused on the aspects of computing technologies development, which employ human-computer communication. Importantly, we assume that communication is being maintained in some language using such tools as spoken or written natural language with a support of formal systems of toolbars, dialog boxes, etc. We will consider the problem of human-computer communication as data exchange between man and machine as well as automatic syntactic and semantic analysis of exchanged data and - finally - automatic data understanding.
The notions of syntax, semantics and understanding are considered as the main goal of human-computer intelligent communication. Not attempting to open a discussion on them, we would like to characterize the meaning in which they are used here. The concepts’ description in a given language is what the syntax is. A mapping, which casts the concepts’ description on the real world objects, set of objects and relations between them, is what the semantics is. An ability of a computer to recognize the semantics and to form a structure of information in the space of data is the first aspect of automatic understanding of data. An ability to perform actions on the structure of data, actions requested by human user, raises the second aspect of automatic data understanding. And the third aspect of automatic data understanding is meant as an ability to create a description of requested data and to synthesize such a description in the tool used in communication.
The paradigm of automatic data understanding was raised recently by Sieckenius de Souza Sieckenius de Souza, 2005, Tadeusiewicz (Tadeusiewicz and Ogiela, 2002), (Tadeusiewicz and Ogiela, 2004), (Tadeusiewicz and Ogiela, 2008) and others. The proposed subject extends the paradigm of automatic data understanding to man-machine communication and leans it to a domain to be chosen. Examples of domains are: medical images, multimedia, interfaces oriented toward blind people. Some relevant information may be found in (Homenda, 2004, 2007, 2008, 2009, 2010).

 Sieckenius de Souza, C., The Semiotic Engineering of Human-Computer Interactions, MIT Press, Cambridge, MA., 2005

 Tadeusiewicz R., Ogiela M. R. Automatic understanding of medical images - new achievements in syntactic analysis of selected medical images. Biocybernetics and Biomedical Engineering 22(4): 17-29, 2002.

 Tadeusiewicz R., Ogiela M.R. Medical Image Understanding Technology, Springer-Verlag, Berlin, 2004

 Tadeusiewicz R., Ogiela L., Ogiela M.R. The automatic understanding approach to systems analysis and design. International Journal of Information Management 28(1): 38-48, 2008.

 Homenda W., Information Structuring in Natural Language Communication: Syntax versus Semantic, LNAI, 3070 (2004) 872-878.

 Homenda W., Towards automation of data understanding: integration of syntax and semantics into granular structures of data, Fourth International Conference on Modeling Decisions for Artificial Intelligence MDAI 2007, Kitakyushu, Fukuoka, Japan, 16-18 August, 2007.

 Homenda W., Breaking Accessibility Barriers:Computational Intelligence in Music Processing for Blind People in: Advanced Computational Intelligence Paradigms in Healthcare - 3, Sordo M., Vaidya S. and Jain L. C. (Eds.), Studies in Computational Intelligence, SCI 107, 207-232 (2008), Springer-Verlag, 2008

 Homenda W., Integrated syntactic and semantic data structuring as an abstraction of intelligent man-machine communication, pp. 324-330, ICAART - International Conference on Agents and Artificial Intelligence, Porto, Portugal, 2009

 Homenda W., Automatic data understanding: a necessity of intelligent communication, in LNAI, 6114, 476-483, 2010.

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