Business Intelligence Explorer: A Knowledge Map Framework for Discovering Business Intelligence on the Web

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 business analysts 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, Web community 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 multidi...

• Type: Conference
• Year: 2003
• Where: HICSS
• Authors: Wingyan Chung, Hsinchun Chen, Jay F. Nunamaker
• Keywords: Biometrics, Business Intelligence, Business Intelligence Explorer, HICSS 2003, Knowledge Map, System Sciences