Applying graph layout techniques to web information visualization and navigation

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dc.contributor.author Lai, W
dc.contributor.author Huang, X
dc.contributor.author Nguyen, QV
dc.contributor.author Huang, ML
dc.date.accessioned 2009-11-09T05:35:42Z
dc.date.issued 2007
dc.identifier.citation Computer Graphics, Imaging and Visualisation: New Advances, CGIV 2007, 2007, pp. 447 - 453
dc.identifier.isbn 0769529283
dc.identifier.isbn 9780769529288
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2442
dc.description.abstract Graph layout techniques have been developed for many years, there is a few applying to real world applications. This paper presents an application of applying graph layout techniques in web information visualization and navigation. Most Web browsers, including Netscape and Microsoft Internet Explorer, cannot give users a visual "map" to guide their Web journey. An approach of using a graph for Web navigation has been proposed. That is to look at the whole of cyberspace as one huge graph. To explore this huge graph, it is critical to find an effective method of tracking a sequence of subsets (Web sub-graphs) of the huge graph based on the user's focus. Any on-line Web sub-graph should fit in the display window. To enhance the display of a Web sub-graph, there should not be any overlaps between node images in the Web sub-graph. © 2007 IEEE.
dc.relation.isbasedon 10.1109/CGIV.2007.19
dc.title Applying graph layout techniques to web information visualization and navigation
dc.type Conference Proceeding
dc.parent Computer Graphics, Imaging and Visualisation: New Advances, CGIV 2007
dc.journal.number en_US
dc.publocation Los Alamitos, USA en_US
dc.identifier.startpage 447 en_US
dc.identifier.endpage 453 en_US
dc.cauo.name FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.conference International Conference Computer Graphics, Imaging and Visualization
dc.conference.location Bangkok Thailand en_US
dc.for 0801 Artificial Intelligence and Image Processing
dc.personcode 024665
dc.personcode 990771
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.custom International Conference Computer Graphics, Imaging and Visualization en_US
dc.date.activity 20070814 en_US
dc.date.activity 2007-08-14
dc.location.activity Bangkok Thailand en_US
dc.description.keywords Graph layout techniques, Web browser, Web graph, Visual map, Web information, Navigation. en_US
dc.description.keywords Graph layout techniques, Web browser, Web graph, Visual map, Web information, Navigation.
dc.description.keywords Graph layout techniques
dc.description.keywords Navigation
dc.description.keywords Visual map
dc.description.keywords Web browser
dc.description.keywords Web graph
dc.description.keywords Web information
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history School of Software (ID: 337)
utslib.collection.history Closed (ID: 3)


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