Journal of the American Society for Information Science and Technology - Special issue: Part II: Information seeking research
EBizPort: collecting and analyzing business intelligence information
Journal of the American Society for Information Science and Technology
Evaluating event visualization: a usability study of COPLINK spatio-temporal visualizer
International Journal of Human-Computer Studies
Journal of the American Society for Information Science and Technology
Expert Systems with Applications: An International Journal
A language for manipulating clustered web documents results
Proceedings of the 17th ACM conference on Information and knowledge management
An interaction framework for mobile web search
Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia
Ontology-based information extraction for business intelligence
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Investigating effectiveness and user acceptance of semantic social tagging for knowledge sharing
Information Processing and Management: an International Journal
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Nowadays, information overload hinders the discovery of business intelligence on the World Wide Web. Existing business intelligence tools suffer from a lack of analysis and visualization capabilities and traditional result list display by search engines often overwhelms businessanalysts with irrelevant information. Thus, developing tools that enable better analysis while reduce information overload has been a challenge. The literature show that hierarchical and map displays enable effective access and browsing of information. However, they have not been widely applied to discover business intelligence on the Web. This research proposes Business Intelligence Explorer, a tool implementing the steps in a knowledge map framework for discovering business intelligence on the Web. Two browsing methods, namely, Webcommunity and knowledge map, have been implemented. Web community uses a genetic algorithm to organize different Web sites into a hierarchical format. Knowledge map uses a multidimensional scaling algorithm to place different Web sites as points on a map. Preliminaryresults of our user study show that Web community helps users locate results quickly and effectively. Users liked the intuitive map display of knowledge map. Our Business Intelligence Explorer contributes to alleviate information overload in business analysis. Future directions onapplying document visualization techniques in discovering business intelligence are described.