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國立雲林科技大學
National Yunlin University of Science and Technology
N.Y.U.S.T.
I. M.
Interactive visualization for opportunistic
exploration of large document collections
Presenter : Chun-Ping Wu
Authors :Simon Lehmann, Ulrich Schwanecke, Ralf Dorner
IS 2010
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Intelligent Database Systems Lab
Outline
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Motivation
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Objective

Methodology

Experiments

Conclusion

Comments
N.Y.U.S.T.
I. M.
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Motivation

N.Y.U.S.T.
I. M.
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.
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Objective
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N.Y.U.S.T.
I. M.
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.
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Methodology
N.Y.U.S.T.
I. M.
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The current Degree of interest(DOI) of an article v:
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A-priori-importance(API) of the unvisited articles can be
formally defined as
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The temporal distance D of an unvisited article v can then
be defined as
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Methodology
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N.Y.U.S.T.
I. M.
The architecture of Wivi.
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Experiments
N.Y.U.S.T.
I. M.
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Experiments
N.Y.U.S.T.
I. M.
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Conclusion
N.Y.U.S.T.
I. M.

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.
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Comments
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Advantage

The system is very interesting.

The approach can help users more easily to read.
Drawback

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N.Y.U.S.T.
I. M.
When a large amount of data, the system performance is poor.
Application

Browsing, Searching
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