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    An intelligent personal spider (agent) for dynamic Internet/Intranet searching

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    Author
    Chen, Hsinchun
    Chung, Yi-Ming
    Ramsey, Marshall C.
    Yang, Christopher C.
    Issue Date
    1998-05
    Submitted date
    2004-09-04
    Keywords
    Internet
    World Wide Web
    Information Extraction
    Local subject classification
    National Science Digital Library
    NSDL
    Artificial intelligence lab
    AI lab
    Agents
    Machine learning
    Spider
    Evolutionary programming
    Information retrieval
    Semantic retrieval
    Java
    Intranet
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    Citation
    An intelligent personal spider (agent) for dynamic Internet/Intranet searching 1998-05, 23(1):41-58 Decision Support Systems
    Publisher
    Science Direct
    Journal
    Decision Support Systems
    Description
    Artificial Intelligence Lab, Department of MIS, University of Arizona
    URI
    http://hdl.handle.net/10150/105238
    Abstract
    As Internet services based on the World-Wide Web become more popular, information overload has become a pressing research problem. Difficulties with search on Internet will worsen as the amount of on-line information increases. A scalable approach to Internet search is critical to the success of Internet services and other current and future National Information Infrastructure (NII) applications. As part of the ongoing Illinois Digital Library Initiative project, this research proposes an intelligent personal spider (agent) approach to Internet searching. The approach, which is grounded on automatic textual analysis and general-purpose search algorithms, is expected to be an improvement over the current static and inefficient Internet searches. In this experiment, we implemented Internet personal spiders based on best first search and genetic algorithm techniques. These personal spiders can dynamically take a user's selected starting homepages and search for the most closely related homepages in the web, based on the links and keyword indexing. A plain, static CGI/HTML-based interface was developed earlier, followed by a recent enhancement of a graphical, dynamic Java-based interface. Preliminary evaluation results and two working prototypes (available for Web access) are presented. Although the examples and evaluations presented are mainly based on Internet applications, the applicability of the proposed techniques to the potentially more rewarding Intranet applications should be obvious. In particular, we believe the proposed agent design can be used to locate organization-wide information, to gather new, time-critical organizational information, and to support team-building and communication in Intranets.
    Type
    Journal Article (Paginated)
    Language
    en
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