%A Xu Xin, Hong Yunjia %T Study on Text Visualization of Clustering Result for Domain Knowledge Base —— Take Knowledge Base of Chinese Cuisine Culture as the Object %0 Journal Article %D 2014 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2014.10.05 %P 25-32 %V 30 %N 10 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3956.shtml} %8 2014-10-25 %X

[Objective] An intuitive navigation is provided to users by the text visualization of clustering results in the domain knowledge base. [Methods] The visual navigation of the texts in the domain knowledge base is realized by the procedures of topic discovery, dimensional reduction and visual display based on the automatic multi-level text organization by clustering. [Results] An algorithm of topic extraction named TF-ICF is put forward, and the visual display of domain knowledge base is realized by the optimized tree map and scatter diagram to help users know about the overview of knowledge base, find the required topics, understand the relation between different texts. [Limitations] The visual display partly depends on the manual participation, and the interaction of the visualization needs to optimize further. [Conclusions] The visualization method is applied successfully in domain knowledge base and helps to optimize the users' experiences further.