Study on context understanding, knowledge transformation and decision support systems

Authors:
Dana Klimešová;Eva Ocelíková
Affiliations:
Czech Univ. of Life Sciences, Prague, Faculty of Economics and Management, Dept. of Inf. Eng., Praha 6, Czech Republic and Czech Academy of Sciences, Inst. of Inf. Theory and Automation, Dept. of ...;Faculty of Electrical Engineering and Informatics, Technical University of Košice, Košice, Slovakia
Venue:
WSEAS Transactions on Information Science and Applications
Year:
2010

Citing 12
Cited 2

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Topology-oriented incremental computation of Voronoi diagrams of circular arcs and straight-line segments

Computer-Aided Design

Knowledge management improvement using GIS

MCBANTA'11 Proceedings of the 12th WSEAS international conference on Mathematics and computers in biology, business and acoustics
Spatial-temporal data evaluation

AICT'11 Proceedings of the 2nd international conference on Applied informatics and computing theory

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Abstract

The contribution deals with the problem of detecting, interpretation and understanding various contexts on the background of the process understanding and the context applying. Also the problem of multi-criteria evaluation is addressed and the different ways of knowledge integration is discussed. Despite rapid progress in this area, there are still a significant number of challenges that need to be addressed to enable automatic contextual decision making. Those challenges include robust detection of the context, its interpretation, multi-level semantic information and understanding on the base of inference from object interactions. The contribution is focused also on the use of Voronian diagrams in combination with standard spatial data to support the decisions in the field of nearest objects selection with regards to the additional considerations. It is shown that the localized knowledge make possible to aggregate important aspects of defined objects and phenomena and evaluate them in context of different requirements.