Visualization In Information Analysis

Visualization is an interdisciplinary research field in recent decades, visualizing data or information in graphic form, making sense of data and information effectively and quickly, retrieval, access and anal-ysis large datasets, and interact with computer system, exploring the information unseen. Visualization became a hot research topic in Information Science immediately, although it comes from Computer Sci-ence.This thesis focus on the applications of information visualization, from the perspective of Informa-tion Science, including the research and analysis of visualization theory in information access and informa-tion analysis, and the conclusion of visualization technologies. This thesis is divided into four chapters, draw a conclusion of information visualization development, frome information access to information analysis:The first chapter contains the research background:information visualization is an area of multidis-ciplinary research field, with diversely research methods, documents resources and practices; the research framework, research methods, research object, the research field of information visualization; visual con-cepts:the most relevant survey results, concepts, definitions, such as visualization, scientific visualization, knowledge visualization; latest research:academic papers and books, researchers, associations and pro-ceedings.The second chapter discusses the application of information visualization and visualization tech-niques in information access, not only about the information we never had, but also the information we have got but had not understand just by reading. Information visualization is an important way to help people overcome this ba in information access. This chapter include:visualization technologies in infor-mation retrieval, news, image, geographic information, text mining, color, music, business intelligence, real-time information, academic information and entertainment information.The third chapter discusses information visualization and visualization technology in information analysis, aims to discover hidden information from existing content. Although traditional and common information analysis method based on the structured or quantitative fact of information from existing in-formation is effective, however, considering the advantages of information visualization, the reseach and applications of information visualization method is gradually formed and becoming perfect. This chap-ter contains:spatial analysis, social network analysis, complex network analysis, hierarchical information analysis and patent analysis.The fourth chapter is about the information visualization technologies:models and tools, especially online tools.