TAILIEUCHUNG - Báo cáo " Approach to deductive database "

Researches on deductive database systems are not new ones, but propose of data model allowing manipulating data and knowledge on a particular framework is not easy but interesting goal. The paper aims at a model for knowledge in educational and training environment, beside of a presenting the achievement in the existing systems concerning knowledge. Certain data manipulation techniques for knowledge acquisition are proposed in the model, as knowledge discovering techniques in deductive database systems. . | VNU Journal of Science Mathematics - Physics 23 2007 183-188 Approach to deductive database Tuan DoTrung Tuan DuongAnh Department of Mathematic Mechanics Informatics College of Science VNU 334 Nguyen Trai Hanoi Vietnam Received 15 November 2006 received in revised form 12 October 2007 Abstract. Researches on deductive database systems are not new ones but propose of data model allowing manipulating data and knowledge on a particular framework is not easy but interesting goal. The paper aims at a model for knowledge in educational and training environment beside of a presenting the achievement in the existing systems concerning knowledge. Certain data manipulation techniques for knowledge acquisition are proposed in the model as knowledge discovering techniques in deductive database systems. Keywords Deductive database data model query language datamining. 1. Introduction Knowledge was studied in artificial intelligence from 1956 concerns to much research domains in some years. Human has reached key stones in data and knowledge manipulation. The third revolution of human society is attached to knowledge representation and manipulation. In 1 2 there were some principal stones Printing technique 1440 Tacit knowledge 1964 Knowledge society 1973 The third wave 1980 Information society 1982 Internet 1991 New economy 1996. Nonaka and Takeuk 2 1964 summarize that the creation of knowledge is the result of a continuous cycle of 4 integrated processes. They are processes of externalization internalization combination and socialization. These four knowledge conversion mechanisms are mutually complementary but keeping interdependent that change according to the demands of context and sequence. Corresponding author. E-mail tuandt@ 183 184 . Tuan . Tuan VNU Journal of Science Mathematics - Physics 23 2007 183-188 Fig. 1. Conversation of knowledge 11 Knowledge activities focus to tacit knowledge connect knowledge activity to knowledge conversion Process of .

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