We have developed Knowledge Galaxy, a new knowledge visualization technique. It consists of three layers: On the first layer we have a knowledge map of the topics, no more than seven of them, as it is the limit of the short-term memory and thus of perception. On the second layer the keywords are mapped for the topics, again no more than seven keywords for each topic. On the third layer each keyword is described with attributes, however, there could be numerous attributes and this would give us more than two hundred concepts, which is the limit how many the human mind can handle. Therefore on the third layer we use the machine learning algorithm of Doctus KBS to reduce the number of attributes to approximately five.
We have developed Knowledge Galaxy, a new knowledge visualization technique. It consists of three layers: On the first layer we have a knowledge map of the topics, no more than seven of them, as it is the limit of the short-term memory and thus of perception. On the second layer the keywords are mapped for the topics, again no more than seven keywords for each topic. On the third layer each keyword is described with attributes, however, there could be numerous attributes and this would give us more than two hundred concepts, which is the limit how many the human mind can handle. Therefore on the third layer we use the machine learning algorithm of Doctus KBS to reduce the number of attributes to approximately five. 
