Business intelligence explorer: A knowledge map framework for discovering business intelligence on the Web

Research output: Chapter in Book/Report/Conference proceedingConference contribution

35 Citations (Scopus)

Abstract

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 multidimensional scaling algorithm to place different Web sites as points on a map. Preliminary results 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 on applying document visualization techniques in discovering business intelligence are described.

Original languageEnglish (US)
Title of host publicationProceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)0769518745, 9780769518749
DOIs
StatePublished - 2003
Event36th Annual Hawaii International Conference on System Sciences, HICSS 2003 - Big Island, United States
Duration: Jan 6 2003Jan 9 2003

Other

Other36th Annual Hawaii International Conference on System Sciences, HICSS 2003
CountryUnited States
CityBig Island
Period1/6/031/9/03

Fingerprint

Competitive intelligence
Display devices
Websites
Visualization
Search engines
World Wide Web
Industry
Genetic algorithms

Keywords

  • Business intelligence
  • genetic algorithm
  • knowledge map
  • multidimensional scaling
  • visualization
  • Web browsing
  • Web community

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications

Cite this

Chung, W., Chen, H., & Nunamaker, J. F. (2003). Business intelligence explorer: A knowledge map framework for discovering business intelligence on the Web. In Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003 [1173649] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HICSS.2003.1173649

Business intelligence explorer : A knowledge map framework for discovering business intelligence on the Web. / Chung, Wingyan; Chen, Hsinchun; Nunamaker, Jay F.

Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003. Institute of Electrical and Electronics Engineers Inc., 2003. 1173649.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chung, W, Chen, H & Nunamaker, JF 2003, Business intelligence explorer: A knowledge map framework for discovering business intelligence on the Web. in Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003., 1173649, Institute of Electrical and Electronics Engineers Inc., 36th Annual Hawaii International Conference on System Sciences, HICSS 2003, Big Island, United States, 1/6/03. https://doi.org/10.1109/HICSS.2003.1173649
Chung W, Chen H, Nunamaker JF. Business intelligence explorer: A knowledge map framework for discovering business intelligence on the Web. In Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003. Institute of Electrical and Electronics Engineers Inc. 2003. 1173649 https://doi.org/10.1109/HICSS.2003.1173649
Chung, Wingyan ; Chen, Hsinchun ; Nunamaker, Jay F. / Business intelligence explorer : A knowledge map framework for discovering business intelligence on the Web. Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003. Institute of Electrical and Electronics Engineers Inc., 2003.
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