1. 國立雲林科技大學
National Yunlin University of Science and Technology
Interactive visualization for opportunistic exploration of large document collections
Presenter : Chun-Ping Wu　
Authors :Simon Lehmann, Ulrich Schwanecke, Ralf Dorner
IS 2010

2. Outline Motivation Objective Methodology Experiments Conclusion
Comments

3. Motivation
Finding relevant information in a large and comprehensive collection of cross-referenced documents like Wikipedia usually requires a quite accurate idea where to look for the pieces of data being sought.

4. Objective
This paper describes the interactive visualization Wivi which enables users to intuitively navigate Wikipedia by visualizing the structure of visited articles and emphasizing relevant other topics.

5. Methodology The current Degree of interest(DOI) of an article v:
A-priori-importance(API) of the unvisited articles can be formally defined as
The temporal distance D of an unvisited article v can then be defined as

6. Methodology
The architecture of Wivi.

7. Experiments

8. Experiments

9. Conclusion
The approach combines both a visualization of visited articles and articles that could be immediately reached from all visited articles.
It also calculates a degree of interest of the unvisited articles based on the structure and history of the article graph. 9

10. Comments Advantage Drawback Application
The system is very interesting.
The approach can help users more easily to read.
Drawback
When a large amount of data, the system performance is poor.
Application
Browsing, Searching 10