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December 2002, Volume 1, Number 3-4, Pages 166-181
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| Original Article |
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| The InfoSky visual explorer: exploiting hierarchical structure and document similarities |
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| Keith Andrews1, Wolfgang Kienreich2, Vedran Sabol3, Jutta Becker3, Georg Droschl2, Frank Kappe2, Michael Granitzer3, Peter Auer1 and Klaus Tochtermann3 |
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1Graz University of Technology, Inffeldgasse 16c, A-8010 Graz, Austria
2Hyperwave R&D, Albrechtgasse 9, A-8010 Graz, Austria
3Know-Center, Inffeldgasse 16c, A-8010 Graz, Austria
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Correspondence to: Dr Keith Andrews, Graz University of Technology, Inffeldgasse 16c, A-8010 Graz, Austria; E-mail: kandrews@iicm.edu |
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| Abstract |
 | InfoSky is a system enabling users to explore large, hierarchically structured document collections. Similar to a real-world telescope, InfoSky employs a planar graphical representation with variable magnification. Documents of similar content are placed close to each other and are visualised as stars, forming clusters with distinct shapes. For greater performance, the hierarchical structure is exploited and force-directed placement is applied recursively at each level on much fewer objects, rather than on the whole corpus. Collections of documents at a particular level in the hierarchy are visualised with bounding polygons using a modified weighted Voronoi diagram. Their area is related to the number of documents contained. Textual labels are displayed dynamically during navigation, adjusting to the visualisation content. Navigation is animated and provides a seamless zooming transition between summary and detail view. Users can map metadata such as document size or age to attributes of the visualisation such as colour and luminance. Queries can be made and matching documents or collections are highlighted. Formative usability testing is ongoing; a small baseline experiment comparing the telescope browser to a tree browser is discussed. Information Visualization (2002) 1, 166-181. doi:10.1057/palgrave.ivs.9500023 |
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| Keywords |
 | Information visualisation; navigation; document retrieval; search; hierarchical repositories; knowledge management |
| Received 11 October 2002; revised 24 October 2002; accepted 24 October 2002 |
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