Research on Knowledge Visualization Based on Semantic Relation
Hai Rong Tang, Xiancheng Zhu · 2013
At first this paper analyzes the current shortcomings of knowledge visualization. Then we propose a new method based semantic distance according to the user's interest and different importance of the concepts in a knowledge map. Thus the user's operation and cognitive labor could be reduced largely through only visualizing the information that user considers more important. As a result, this method is more efficient for user to explore the information and comprehend the knowledge implied in knowledge map.