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Dynamic Personal Knowledge Network Design based on Correlated Connection Structure  

Shim, JeongYon (강남대학교)
Publication Information
The Journal of Korean Association of Computer Education / v.18, no.6, 2015 , pp. 71-79 More about this Journal
Abstract
In a new era of Cloud and Big data, how to search the useful data from dynamic huge data pool in a right time and right way is most important at the stage where the information is getting more important. Above all, in the era of s Big Data it is required to design the advanced efficient intelligent Knowledge system which can process the dynamic variable big data. Accordingly in this paper we propose Dynamic personal Knowledge Network as one of the advanced Intelligent system approach. Adopting the human brain function and its neuro dynamics, an Intelligent system which has a structural flexibility was designed. For Structure-Function association, a personal Knowledge Network is made to be structured and to have reorganizing function as connecting the common nodes. We also design this system to have a reasoning process in the extracted optimal paths from the Knowledge Network.
Keywords
correlated connection structure; personal knowledge network; Neuro dynamics;
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