Visualizing trends in knowledge management

被引：0
|
作者：
Lee, Maria R. [1 ]
Chen, Tsung Teng [2 ]
机构：
[1] Shih Chien Univ, Dept Informat Management, Taipei 104, Taiwan
[2] Natl Taipei Univ, Grad Sch Informat Management, Taipei 104, Taiwan
来源：
KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT | 2007年 / 4798卷
关键词：
knowledge management; knowledge visualization; factor analysis; PFNET;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Knowledge visualization is a creative process, but difficult to formalize. This paper presents a system that is capable of analyzing voluminous citation data and visualizing the result. The system offers visualizations of trends by clustering scientific papers taken from the web (CiteSeer papers). Two methods are implemented: factor analysis and PFNET. An experiment has been carried out with the literature in knowledge management. A deep analysis of current trends in KM is then performed to check the relevance of these results. While the topical content is specific to knowledge engineering, semantic web, and related sub-areas, the approach could be applied to any general topic area in AI.
引用
收藏
页码：362 / +
页数：4
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