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Algorithm of Webpage Update Detection Based on Body Text

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Informatics and Management Science III

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 206))

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Abstract

In the process of Internet information recycles, especially in the application of resource download, we need to judge whether a webpage is updated or not. So we can decide the resource that whether it needs to be downloaded or not. In this paper we put forward an algorithm about the webpage update detection which is based on the webpage’s body text. This algorithm is based on extracting Chinese text feature and judges whether a webpage need to be updated or not by analyzing the feature. The result shows that this method has high detection rate and quick progressing speed.

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References

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Acknowledgments

Thanks for sponsors of, 2009BAH40B04, CNGI-09-03-15 and NCET-09-0708.

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Authors and Affiliations

  1. Communication University of China, Beijing, China

    Guowei Chen & Pengzhou Zhang

Authors
  1. Guowei Chen
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  2. Pengzhou Zhang
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Corresponding author

Correspondence to Guowei Chen .

Editor information

Editors and Affiliations

  1. College of Elementary Education, Chongqing Normal University, Chongqing, China, People's Republic

    Wenjiang Du

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© 2013 Springer-Verlag London

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Chen, G., Zhang, P. (2013). Algorithm of Webpage Update Detection Based on Body Text. In: Du, W. (eds) Informatics and Management Science III. Lecture Notes in Electrical Engineering, vol 206. Springer, London. https://doi.org/10.1007/978-1-4471-4790-9_44

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  • DOI: https://doi.org/10.1007/978-1-4471-4790-9_44

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4789-3

  • Online ISBN: 978-1-4471-4790-9

  • eBook Packages: EngineeringEngineering (R0)

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