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Document Collections 2. cs5984: Information Visualization Chris North. Approaches. Clustering (last time) Themescapes, … Network Keyword. Clustering With Full text Galaxy of News pg 452. Clustering. Good: Map of collection Major themes and sizes Relationships between themes
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Document Collections 2 cs5984: Information Visualization Chris North
Approaches • Clustering (last time) • Themescapes, … • Network • Keyword
Clustering With Full text Galaxy of News pg 452
Clustering • Good: • Map of collection • Major themes and sizes • Relationships between themes • Scales up • Bad: • Where to locate documents with multiple themes? • Both mountains, between mountains, …? • Relationships between documents, within documents? • Algorithm becomes (too) critical
Network • Show inter-relationships • Matrix or Complete Graph • Similarity measure between all pairs of docs • Threshold level • Salton, pg 413
Variations Docs + Paragraphs Themes
Network • Better for smaller, more detailed map • Scale up: Network visualization • Good: • Can see more complex relationships between/within documents • Can act like hyperlinks! • Bad: • Finding specific documents • Scale up difficult
Combination: Thinkmap • http://www.thinkmap.com/article.cfm?articleID=38
Keyword • Search engine, keyword query • Rank ordered list • “Information Retrieval”
Today • Hearst, “Tilebars”, web • umer, ashwini
VIBE • Korfhage, http://www.pitt.edu/~korfhage/interfaces.html • Documents located between query keywords using spring model
InfoCrystal • Spoerri, pg 140 • Venn Diagram, all possible combinations A&B&C&D A&C&D C&B C
Keyword • Good: • Reduces the browsing space • Map according to user’s interests • Bad: • What keywords do I use? • What about other related documents that don’t use these keywords? • No initial overview • Mega-hit, zero-hit problem
Assignment • Mid-Project status report: due today • Read for Thurs • Fox, “Envision”, web, video • aejaaz, ravi
Upcoming Weeks • I’m at CHI all next week • Tues: Go to VE, SciViz lab: Torg 3050 • Bowman, Kriz, Kelso • Thurs: McCrickard • Read for Tues Apr 10 • DeFanti, “Scientific Visualization”, pg 39 • Sayle, “Rasmol”, web • Yuying, ?