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http://dx.doi.org/10.5392/JKCA.2011.11.5.050

3D Visualization of Compound Knowledge using SOM(Self-Organizing Map)  

Kim, Gui-Jung (건양대학교 의공학과)
Han, Jung-Soo (백석대학교 정보통신공학부)
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Abstract
This paper proposes 3D visualization method of compound knowledge which will be able to identify and search easily compound knowledge objects based the multidimensional relationship. For this, we structurized a compound knowledge with link and node which become the semantic network. and we suggested 3D visualization method using SOM. Also, to arrange compound knowledge from 3D space and to provide the chance of realistic and intuitional information retrieval to the user, we proposed compound knowledge 3D clustering methods using object similarity. Compound knowledge 3D visualization and clustering using SOM will be the optimum method to appear context of compound knowledge and connectivity in space-time.
Keywords
3D Visualization; SOM(Self Organizing Map); 3D Clustering;
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Times Cited By KSCI : 1  (Citation Analysis)
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