A Visual Framework for Knowledge Discovery on the Web: An Empirical Study of Business Intelligence Exploration.

Author List: Chung, Wingyan; Chen, Hsinchun; Nunamaker, Jr., Jay F.;

Journal of Management Information Systems, 2005, Volume 21, Issue 4, Page 57-84.

Information overload often hinders knowledge discovery on the Web. Existing tools lack analysis and visualization capabilities. Search engine displays often overwhelm users with irrelevant information. This research proposes a visual framework for knowledge discovery on the Web. The framework incorporates Web mining, clustering, and visualization techniques to support effective exploration of knowledge. Two new browsing methods were developed and applied to the business intelligence domain: Web community uses a genetic algorithm to organize Web sites into a tree format; knowledge map uses a multidimensional scaling algorithm to place Web sites as points on a screen. Experimental results show that knowledge map out-performed Kartoo, a commercial search engine with graphical display, in terms of effectiveness and efficiency. Web community was found to be more effective, efficient, and usable than result list. Our visual framework thus helps to alleviate information overload on the Web and offers practical implications for search engine developers.

Keywords: business intelligence; genetic algorithm; knowledge map; multidimensional scaling; visualization; Web browsing; Web community

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List of Topics

#37	0.392	intelligence business discovery framework text knowledge new existing visualization based analyzing mining genetic algorithms related techniques large proposed novel artificial
#33	0.147	web site sites content usability page status pages metrics browsing design use web-based guidelines results implications portal loyalty navigability addition
#217	0.127	search information display engine results engines displays retrieval effectiveness relevant process ranking depth searching economics create functions incorporate low terms
#283	0.058	interface user users interaction design visual interfaces human-computer navigation human need cues studies guidelines laboratory functional developed restricted know guided
#48	0.051	dimensions electronic multidimensional game transactions relative contrast channels theory sustained model predict dimension mixture evolutionary results unique traditional likely finite
#81	0.050	applications application reasoning approach cases support hypertext case-based prototype problems consistency developed benchmarking described efficient practical address activity demonstrate effective