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International Conference on Database Systems for Advanced Applications

DASFAA 2011: Database Systems for Advanced Applications pp 442–445Cite as

AUCWeb: A Prototype for Analyzing User-Created Web Data

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6588))

Abstract

In this demonstration, we present a prototype system, called AUCWeb, that is designed for analyzing user-created web data. It has novel features in that 1) it may utilize external resources for semantic annotation on low-quality user-created content, and 2) it provides a descriptive language for definition of analytical tasks. Both internal mechanism and the usage of AUCWeb for building advanced applications are to be shown in the demonstration.

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References

  1. Cai, P., Luo, H., Zhou, A.: Semantic entity detection by integrating crf and svm. In: Chen, L., Tang, C., Yang, J., Gao, Y. (eds.) WAIM 2010. LNCS, vol. 6184, pp. 483–494. Springer, Heidelberg (2010)

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Author information

Authors and Affiliations

  1. Institute of Massive Computing, East China Normal University, Shanghai, P.R. China

    Weining Qian, Feng Chen, Juan Du, Weiming Zhang, Can Zhang, Haixin Ma, Peng Cai, Minqi Zhou & Aoying Zhou

Authors
  1. Weining Qian
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  2. Feng Chen
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  3. Juan Du
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  4. Weiming Zhang
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  5. Can Zhang
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  6. Haixin Ma
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  7. Peng Cai
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  8. Minqi Zhou
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  9. Aoying Zhou
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Editor information

Editors and Affiliations

  1. Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China

    Jeffrey Xu Yu

  2. Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro (373-1 Guseong-don), 305-701, Yuseong-gu, Daejeon, Korea

    Myoung Ho Kim

  3. Institute for Computer Science and Business Information Systems (ICB), University of Duisburg-Essen, Schützenbahn 70, 45117, Essen, Germany

    Rainer Unland

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Qian, W. et al. (2011). AUCWeb: A Prototype for Analyzing User-Created Web Data. In: Yu, J.X., Kim, M.H., Unland, R. (eds) Database Systems for Advanced Applications. DASFAA 2011. Lecture Notes in Computer Science, vol 6588. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20152-3_35

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  • DOI: https://doi.org/10.1007/978-3-642-20152-3_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20151-6

  • Online ISBN: 978-3-642-20152-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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