• Artificial Intelligence Techniques for Emerging Information Systems Applications: Trailblazing Path to Semantic Interoperability

      Chen, Hsinchun (Wiley Periodicals, Inc, 1998)
      Introduction to Special Issue of JASIS on AI Techniques for Emerging Information Systems Applications in which five articles report research in adopting artificial intelligence techniques for emerging information systems applications.
    • Internet Browsing and Searching: User Evaluation of Category Map and Concept Space Techniques

      Chen, Hsinchun; Houston, Andrea L.; Sewell, Robin R.; Schatz, Bruce R. (Wiley Periodicals, Inc, 1998)
      Research was focused on discovering whether two of the algorithms the research group has developed can help improve browsing and/or searching the Internet. Results indicate that a Kohonen self-organizing map (SOM)-based algorithm can successfully categorize a large and eclectic Internet information space into managable sub-spaces that users can successfully navigate to locate a homepage of interest to them.
    • A Smart Itsy Bitsy Spider for the Web

      Chen, Hsinchun; Chung, Yi-Ming; Ramsey, Marshall C.; Yang, Christopher C. (Wiley Periodicals, Inc, 1998)
      As part of the ongoing Illinois Digital Library Initiative project, this research proposes an intelligent agent approach to Web searching. In this experiment, we developed two Web personal spiders based on best first search and genetic algorithm techniques, respectively. These personal spiders can dynamically take a userâ s selected starting homepages and search for the most closely related homepages in the Web, based on the links and keyword indexing. A graphical, dynamic, Java-based interface was developed and is available for Web access. A system architecture for implementing such an agent-based spider is presented, followed by detailed discussions of benchmark testing and user evaluation results. In benchmark testing, although the genetic algorithm spider did not outperform the best first search spider, we found both results to be comparable and complementary. In user evaluation, the genetic algorithm spider obtained significantly higher recall value than that of the best first search spider. However, their precision values were not statistically different. The mutation process introduced in genetic algorithm allows users to find other potential relevant homepages that cannot be explored via a conventional local search process. In addition, we found the Java-based interface to be a necessary component for design of a truly interactive and dynamic Web agent.