Organizing and personalizing intelligence gathering from the web
Author(s) -
Ong HweeLeng,
Tan AhHwee,
Ng Jamie,
Pan Hong,
Li QiuXiang
Publication year - 2002
Publication title -
international journal of intelligent systems in accounting, finance and management
Language(s) - English
Resource type - Journals
eISSN - 1099-1174
pISSN - 1055-615X
DOI - 10.1002/isaf.208
Subject(s) - personalization , computer science , cluster analysis , world wide web , domain (mathematical analysis) , competitive intelligence , visualization , web intelligence , tracking (education) , information retrieval , code (set theory) , web page , data mining , web development , knowledge management , artificial intelligence , psychology , mathematical analysis , pedagogy , mathematics , set (abstract data type) , programming language
Abstract In this paper, we describe how an integrated web‐based application, code‐named FOCI ( F lexible O rganizer for C ompetitive I ntelligence), can help the knowledge worker in the gathering, organizing, tracking and dissemination of competitive intelligence (CI). It combines the use of a novel user‐configurable clustering, trend analysis and visualization techniques to manage information gathered from the web. FOCI allows its users to define and personalize the organization of the information clusters according to their needs and preferences into portfolios. These personalized portfolios created are saved and can be subsequently tracked and shared with other users. The paper runs through an example to show how the use of a predefined domain template coupled with personalization can greatly enhance an organization and tracking of CI gathered from the web. Copyright © 2002 John Wiley & Sons, Ltd.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom