Show simple item record

dc.contributor.authorPirolli, Peter
dc.contributor.authorPitkow, James Edward
dc.contributor.authorRao, Ramana
dc.date.accessioned2004-10-25T15:06:10Z
dc.date.available2004-10-25T15:06:10Z
dc.date.issued1996
dc.identifier.urihttp://hdl.handle.net/1853/3496
dc.description.abstractIn its current implementation, the World-Wide Web lacks much of the explicit structure and strong typing found in many closed hypertext systems. While this property probably relates to the explosive acceptance of the Web, it further complicates the already difficult problem of identifying usable structures and aggregates in large hypertext collections. These reduced structures, or localities, form the basis for simplifying visualizations of and navigation through complex hypertext systems. Much of the previous research into identifying aggregates utilize graph theoretic algorithms based upon structural topology, i.e., the linkages between items. Other research has focused on content analysis to form document collections. This paper presents our exploration into techniques that utilize both the topology and textual similarity between items as well as usage data collected by servers and page meta-information lke title and size. Linear equations and spreading activation models are employed to arrange Web pages based upon functional categories, node types, and relevancy.en
dc.format.extent144106 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technologyen
dc.relation.ispartofseriesGVU Technical Report;GIT-GVU-96-10
dc.subjectInformation visualizationen
dc.subjectWorld Wide Weben
dc.subjectHypertexten
dc.titleSilk from a Sow's Ear: Extracting Usable Structures from the Weben
dc.typeTechnical Reporten


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record