Data, Information and Knowledge Transformation
نویسنده
چکیده
The paper deals with the relations between data, information, knowledge and knowledge management on the background of the process understanding and the context applying. The contribution of Computer science, Artificial intelligence and the new information technologies is discussed how they can help us to carry out the new knowledge management strategies. The Internet technology and 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. The development and the use of permanently changing information structures open new ways of information processing and understanding. On the example of GIS the context utilisation is presented as a unique approach to the problem of conflict resolution among multiple heterogeneous data sources. The paper discuss the problem of wide context 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. Key-Words: Data, information structures, contextual space, information management, contextual modelling, knowledge
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تاریخ انتشار 2009