KNOWLEDGE VISUALISATION TECHNIQUES FOR REVEALING ADVANCED RESEARCH AND TRENDS

摘要：

Revealing themes and trends in scientific work are important research tasks. However, the challenging effort is to make knowledge visualization distinct and straightforward to interpret. In this paper, different perspectives and methods were introduced to analyze leading projects and research theme. Factor analysis and pathfinder network were carried out to picture research directions by clustering scientific papers taken from the web (CiteSeer papers). Ontology technology was applied to discover foremost research topics based on Taiwan NSC project proposals. The results obtained show that recent popular research towards to pursue Web related work. Of particular interest is that the proposed techniques could be re-used in a number of ways and could possibly be shared across different domains.

关键词： Knowledge Visualization Factor Analysis Pathfinder Network Ontology

作者: MARIA R.LEE TSUNG TENG CHEN

作者单位: Graduate School of Information Technology and Management, Shih Chien University, Taiwan Graduate School of Information Management, National Taipei University, Taiwan

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2918-2922

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）