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    CI Spider: a tool for competitive intelligence on the Web

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    Author
    Chen, Hsinchun
    Chau, Michael
    Zeng, Daniel
    Issue Date
    2002
    Submitted date
    2004-08-16
    Keywords
    Internet
    Artificial Intelligence
    World Wide Web
    Local subject classification
    National Science Digital Library
    NSDL
    Artificial Intelligence lab
    AI lab
    Spider
    Competitive intelligence
    
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    Show full item record
    Citation
    CI Spider: a tool for competitive intelligence on the Web 2002, 34(1):1-17 Decision Support Systems
    Publisher
    Elsevier
    Journal
    Decision Support Systems
    Description
    Artificial Intelligence Lab, Department of MIS, University of Arizona
    URI
    http://hdl.handle.net/10150/106357
    Abstract
    Competitive Intelligence (CI) aims to monitor a firm’s external environment for information relevant to its decision-making process. As an excellent information source, the Internet provides significant opportunities for CI professionals as well as the problem of information overload. Internet search engines have been widely used to facilitate information search on the Internet. However, many problems hinder their effective use in CI research. In this paper, we introduce the Competitive Intelligence Spider, or CI Spider, designed to address some of the problems associated with using Internet search engines in the context of competitive intelligence. CI Spider performs real-time collection of Web pages from sites specified by the user and applies indexing and categorization analysis on the documents collected, thus providing the user with an up-to-date, comprehensive view of the Web sites of user interest. In this paper, we report on the design of the CI Spider system and on a user study of CI Spider, which compares CI Spider with two other alternative focused information gathering methods: Lycos search constrained by Internet domain, and manual within-site browsing and searching. Our study indicates that CI Spider has better precision and recall rate than Lycos. CI Spider also outperforms both Lycos and within-site browsing and searching with respect to ease of use. We conclude that there exists strong evidence in support of the potentially significant value of applying the CI Spider approach in CI applications.
    Type
    Journal Article (Paginated)
    Language
    en
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