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A Mathematic Model for Automatic Summarization

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Book cover Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3613))

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Abstract

Automatic Summarization is need of the era. Mathematics is an important tool of nonfigurative thinking. A mathematic model of automatic summarization is established and discussed in the paper. The model makes use of meta-knowledge to describe the composition of the summary and help to calculate the semantic distance between summary and source document. It is proposed that how to get meta-knowledge aggregate and their weight are the key problems in the model.

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References

  1. Marie, C.A., Wicks, W.: Guide to Careers in Abstracting and Indexing. National Federation of Abstracting and Information Services, Philadelphia (1992)

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  2. Gongshen, L., Yongcheng, W., Zhengrong, B., et al.: Multi-Subject Analyzing Based on Concept Coherence (CC). Journal of Information Science 21(1), 2–6 (2002)

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  3. Edmundson, H.P.: New Methods in Automatic Extracting. Journal of the association for Computing Machinery 16(2), 264–285 (1969)

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200030, Shanghai, P. R. China

    Zhiqi Wang, Yongcheng Wang & Kai Gao

Authors
  1. Zhiqi Wang
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  2. Yongcheng Wang
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  3. Kai Gao
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Wang, Z., Wang, Y., Gao, K. (2005). A Mathematic Model for Automatic Summarization. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_26

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  • DOI: https://doi.org/10.1007/11539506_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28312-6

  • Online ISBN: 978-3-540-31830-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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