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and Czech Academy of Sciences

By Dana Klimešová and Eva Ocelíková


Abstract:- The paper deals with the relations between knowledge management, uncertainty and the context evaluation on the background of computer science, artificial intelligence and the new possibilities of information technologies that can help us to carry out the knowledge management strategies. Web services architecture makes data acquiring more open and interoperable in using, offers wide range of context information, has a unique ability to integrate diverse data through shared location and offers real potential for meeting the demands of users. Very heterogeneous data available in the combination with multi-criteria conditions evaluation causes increasing of uncertainty we meet in the processes and consequently in results. The paper discuss the problem of wide context (temporal, spatial, local, objective, attribute oriented, relation oriented) as a tool to compensate and to decrease the uncertainty of data, classification and analytical process at all process to increase the information value of decision support

Topics: Key-Words, Knowledge
Year: 2014
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