WebTheme™:: Understanding Web information through visual analytics

被引:0
|
作者
Whiting, MA [1 ]
Cramer, N [1 ]
机构
[1] Pacific NW Natl Lab, Richland, WA 99352 USA
来源
SEMANTIC WEB - ISWC 2002 | 2002年 / 2342卷
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
WebTheme combines the power of software agent-based information retrieval with visual analytics to provide users with a new tool for understanding web information. WebTheme allows users to both quickly comprehend large collections of information from the Web and drill down into interesting portions of a collection. Software agents work for users to perform controlled harvesting of web material of interest. Visualization and analysis tools allow exploration of the resulting document space. Information spaces are organized and presented according to their topical context. Tools that display how documents were collected by the agents, where they were gathered, and how they are linked further enhance users' understanding of information and its context. WebTheme is a significant tool in the pursuit of the Semantic Web. In particular, it supports enhanced user insight into semantics of large, prestructured or ad-hoc, web information collections.
引用
收藏
页码:460 / 468
页数:9
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