Abstract: The paper deals with the concepts: data, information and knowledge in the background of new information technologies discusses significant relationships and investigates the conditions which can force the basic development and new possibilities of use. The importance of the dynamical information structures as well as the ability to create, propose and search through the contextual space of selected information is addressed. The concept of different types of context is introduced and the problem of uncertainty is solved for cases when multisource data are used. The rapid development caused by various types of integration techniques on the level of data, information and knowledge is discussed and practical examples from the field of geomatics are presented.

Brief Biography of the Speaker: Dana Klimesova is with the Czech University of Life Sciences Prague, Faculty of Economics and Management,
Kamycka 129, 165 21 Prague, Czech Republic, and with the Institute of Information Theory and Automation ASCR, Pod vodarenskou vezi 4, 182 00 Prague 8, as associate professor. Education: Master Degree in Numerical Mathematics, Faculty of Mathematics and Physics, Charles University in Prague, 1973. Ph.D. Degree in Computer Science, Thesis: Texture Processing in Remote Sensing, Czech Academy of Sciences, Prague, 1987. Research interests: Spatial modelling, geographical information management, context mapping, GIS, image processing. Education activities: Geographical information systems and image processing, remote sensing, system engineering.