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Document Copy Detection System Based on Plagiarism Patterns

  • Conference paper
Computational Linguistics and Intelligent Text Processing (CICLing 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3878))

Abstract

Document copy detection is a very important tool for protecting author’s copyright. We present a document copy detection system that calculates the similarity between documents based on plagiarism patterns. Experiments were performed using CISI document collection and show that the proposed system produces more precise results than existing systems.

This research was supported by the MIC (Ministry of Information and Communication), Korea, under the Chung-Ang University HNRC-ITRC (Home Network Research Center) support program supervised by the IITA (Institute of Information Technology Assessment).

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Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, ChungAng University, Seoul, Korea

    NamOh Kang & SangYong Han

Authors
  1. NamOh Kang
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  2. SangYong Han
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Editor information

Editors and Affiliations

  1. National Polytechnic Institute, Center for Computing Research, 07738, Mexico City, México

    Alexander Gelbukh

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Kang, N., Han, S. (2006). Document Copy Detection System Based on Plagiarism Patterns. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2006. Lecture Notes in Computer Science, vol 3878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11671299_60

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  • DOI: https://doi.org/10.1007/11671299_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32205-4

  • Online ISBN: 978-3-540-32206-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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