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Interactive visualization for opportunistic exploration of large document collections

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

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Interactive visualization for opportunistic exploration of large document collections

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

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