Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
11-2001
Abstract
This paper describes how an integrated web-based application, code-named FOCI (Flexible Organizer for Competitive Intelligence), can help the knowledge worker in the gathering, organizing, tracking, and dissemination of competitive intelligence or knowledge bases on the web. It shows how text mining techniques including a novel user-configurable clustering, trend analysis and visualization techniques can be used synergistically to address the problem of managing information gathered from the web. FOCI allows a user to define and personalize the organization of the information clusters according to their needs and preferences into portfolios. Predefined sections for organizing information in specific domains is also supported. The personalized portfolios created can be saved and subsequently tracked and shared with other users. In addition, FOCI is designed to handle multilingual documents.
Keywords
Competitive intelligence, text mining, web mining, clustering, personalization, trend analysis, visualization
Discipline
Data Storage Systems
Research Areas
Data Science and Engineering
Publication
Proceedings of the 10th International Conference on Information and Knowledge Management, Atlanta, Georgia, 2001 November 5-10
First Page
523
Last Page
525
Identifier
10.1145/502585.502674
Publisher
ACM
City or Country
Atlanta, USA
Citation
ONG, Hwee-Leng; TAN, Ah-hwee; NG, Jamie; PAN, Hong; and LI, Qiu-Xiang.
FOCI: Flexible organizer for competitive intelligence. (2001). Proceedings of the 10th International Conference on Information and Knowledge Management, Atlanta, Georgia, 2001 November 5-10. 523-525.
Available at: https://ink.library.smu.edu.sg/sis_research/6784
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.