CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Efficient memory-bounded search methods
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Galaxy of news: an approach to visualizing and understanding expansive news landscapes
UIST '94 Proceedings of the 7th annual ACM symposium on User interface software and technology
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Proceedings of the 8th annual ACM symposium on User interface and software technology
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A focus+context technique based on hyperbolic geometry for visualizing large hierarchies
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Enhanced hypertext categorization using hyperlinks
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
PODS '00 Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Automatic animation of discussions in USENET
AVI '00 Proceedings of the working conference on Advanced visual interfaces
HishiMochi: a zooming browser for hierarchically clustered documents
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Tree-Maps: a space-filling approach to the visualization of hierarchical information structures
VIS '91 Proceedings of the 2nd conference on Visualization '91
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We propose visualization techniques for supporting a discovery from and comprehension of the information space built on the Internet. Although the Internet is certainly a rich source of knowledge, discoveries from the net are often too hard. On the one hand, it is difficult to find places where useful knowledge is buried since the information space on the Internet are huge and ill-structured. On the other hand, even if they are found, it is still difficult to read from useful knowledge since it is scattered on a number of fine-grained pages and articles.In order to help human users to find and understand concealed knowledge, we propose two levels of visualization techniques. The first level is designed to provide scalable visualizations, presenting skeletal structures of huge hierarchies. It provides sketchy maps of the entire space and helps the user to navigate to portions where candidate information is stored. The second level provides more detailed and comprehensible views of a small region of the information space. It can help the user to understand knowledge that is scattered on multiple articles and thus inherently hard to follow.