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The Research and Implementation of Web Subject Fusion Based on Information Fusion

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New Horizons in Web-Based Learning - ICWL 2010 Workshops (ICWL 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6537))

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Abstract

This paper proposes web information fusion concept, and uses it by means of evidence reasoning and dynamic clustering algorithm to fusion web subjects, access to the effective expression of the relevant web pages, so that when Internet users use search engine, the search engine will reduce large numbers of redundant and bad pages, and feedback more useful information to users.

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Author information

Authors and Affiliations

  1. School of Computer Engineering and Science, Shanghai University, Shanghai, China

    Feiyue Ye & Jiayong Du

Authors
  1. Feiyue Ye
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  2. Jiayong Du
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Editor information

Editors and Affiliations

  1. Shanghai University, Xingjian Building, No. 149 Yanchang Road, 200072, Shanghai, China

    Xiangfeng Luo

  2. Information Systems and Databases, RWTH Aachen University, Ahornstr. 55, 52056, Aachen, Germany

    Yiwei Cao

  3. School of Computer Science and Engineering, University of Electronic Science and Techology of China, No. 2006 Xiyuan Avenue, High-Tech Zone (West), 611731, Chengdu, China

    Bo Yang

  4. Knowledge Grid Lab, Hunan University of Science and Technology, 411202, Xiangtan, Hunan, China

    Jianxun Liu

  5. School of Computer Engineering and Science, Shanghai University, Xingjian Building, No. 149, Yanchang Road, 200072, Shanghai, China

    Feiyue Ye

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© 2011 Springer-Verlag Berlin Heidelberg

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Ye, F., Du, J. (2011). The Research and Implementation of Web Subject Fusion Based on Information Fusion. In: Luo, X., Cao, Y., Yang, B., Liu, J., Ye, F. (eds) New Horizons in Web-Based Learning - ICWL 2010 Workshops. ICWL 2010. Lecture Notes in Computer Science, vol 6537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20539-2_27

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  • DOI: https://doi.org/10.1007/978-3-642-20539-2_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20538-5

  • Online ISBN: 978-3-642-20539-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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