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International Conference on Intelligent Data Engineering and Automated Learning

IDEAL 2003: Intelligent Data Engineering and Automated Learning pp 622–629Cite as

E.Coli Search: Self Replicating Agents for Web Based Information Retrieval

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2690))

Abstract

Although search engines are often used for information retrieval (IR) from the World Wide Web (WWW), current search engine technology seems obsolete. The quality of query results from today’s search engines is unacceptable, creating a demand for new information search and retrieval techniques. The conventional IR methods often lack the flexibility to adapt to changes in the content of the WWW. This paper presents an overview of new developments in evolutionary and adaptive IR and proposes a system (E.Coli search) where an adaptive population of intelligent agents forage the web in search of relevant documents.

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Author information

Authors and Affiliations

  1. GSIM, International University of Japan, Yamato-machi, Minami Uonuma-gun, Niigata, 949-7277, JAPAN

    Derrick Takeshi Mirikitani & Ibrahim Kushchu

Authors
  1. Derrick Takeshi Mirikitani
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  2. Ibrahim Kushchu
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  2. Department of Computer Science, Hong Kong Baptist University, Hong Kong

    Yiu-ming Cheung

  3. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2003 Springer-Verlag Berlin Heidelberg

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Mirikitani, D.T., Kushchu, I. (2003). E.Coli Search: Self Replicating Agents for Web Based Information Retrieval. In: Liu, J., Cheung, Ym., Yin, H. (eds) Intelligent Data Engineering and Automated Learning. IDEAL 2003. Lecture Notes in Computer Science, vol 2690. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45080-1_84

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  • DOI: https://doi.org/10.1007/978-3-540-45080-1_84

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40550-4

  • Online ISBN: 978-3-540-45080-1

  • eBook Packages: Springer Book Archive

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