Graph visualization techniques for web clustering engines

被引：44

作者：

Di Giacomo, Emilio ^{[1
]}

Didimo, Walter ^{[1
]}

Grilli, Luca ^{[1
]}

Liotta, Giuseppe ^{[1
]}

机构：

[1] Univ Perugia, Dipartimento Ingn Elettron & Informaz, I-06125 Perugia, Italy

来源：

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS | 2007年 / 13卷 / 02期

关键词：

web search; clustering; information visualization; visualization systems and software; visualization techniques and methodologies; graphical user interfaces;

D O I：

10.1109/TVCG.2007.40

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 [计算机软件与理论]; 0835 [软件工程];

摘要：

One of the most challenging issues in mining information from the World Wide Web is the design of systems that present the data to the end user by clustering them into meaningful semantic categories. We show that the analysis of the results of a clustering engine can significantly take advantage of enhanced graph drawing and visualization techniques. We propose a graph-based user interface for Web clustering engines that makes it possible for the user to explore and visualize the different semantic categories and their relationships at the desired level of detail.

引用

页码：294 / 304

页数：11

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