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Parallel Web Spiders for Cooperative Information Gathering

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Grid and Cooperative Computing - GCC 2005 (GCC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 3795))

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Abstract

Web spider is a widely used approach to obtain information for search engines. As the size of the Web grows, it becomes a natural choice to parallelize the spider’s crawling process. This paper presents a parallel web spider model based on multi-agent system for cooperative information gathering. It uses the dynamic assignment mechanism to wipe off redundant web pages caused by parallelization. Experiments show that the parallel spider is effective to improve the information gathering performance within an acceptable interaction efficiency cost for controlling. This approach provides a novel perspective for the next generation advanced search engine.

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References

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Author information

Authors and Affiliations

  1. The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, PO Box 2704-28, Beijing, 100080, China

    Jiewen Luo, Zhongzhi Shi & Maoguang Wang

  2. Graduate School of Chinese Academy of Sciences,  

    Jiewen Luo, Maoguang Wang & Wei Wang

Authors
  1. Jiewen Luo
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  2. Zhongzhi Shi
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  3. Maoguang Wang
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  4. Wei Wang
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Editor information

Editors and Affiliations

  1. China Knowledge Grid Research Group, Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, 100080, Beijing, China

    Hai Zhuge

  2. Community Grids Lab, Indiana University Bloomington,  

    Geoffrey C. Fox

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© 2005 Springer-Verlag Berlin Heidelberg

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Luo, J., Shi, Z., Wang, M., Wang, W. (2005). Parallel Web Spiders for Cooperative Information Gathering. In: Zhuge, H., Fox, G.C. (eds) Grid and Cooperative Computing - GCC 2005. GCC 2005. Lecture Notes in Computer Science, vol 3795. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590354_143

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  • DOI: https://doi.org/10.1007/11590354_143

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30510-1

  • Online ISBN: 978-3-540-32277-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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