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Citation-Based Plagiarism Detection: Detecting Disguised and Cross-Language
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Citation-Based Plagiarism Detection: Detecting Disguised and Cross-Language Plagiarism Using Citation Pattern Analysis Tapa blanda - 2014

de Bela Gipp


Información de la editorial

Plagiarism is a problem with far-reaching consequences for the sciences. However, even today's best software-based systems can only reliably identify copy & paste plagiarism. Disguised plagiarism forms, including paraphrased text, cross-language plagiarism, as well as structural and idea plagiarism often remain undetected. This weakness of current systems results in a large percentage of scientific plagiarism going undetected. Bela Gipp provides an overview of the state-of-the art in plagiarism detection and an analysis of why these approaches fail to detect disguised plagiarism forms. The author proposes Citation-based Plagiarism Detection to address this shortcoming. Unlike character-based approaches, this approach does not rely on text comparisons alone, but analyzes citation patterns within documents to form a language-independent "semantic fingerprint" for similarity assessment. The practicability of Citation-based Plagiarism Detection was proven by its capability to identify so-far non-machine detectable plagiarism in scientific publications.

Descripción de contraportada

Plagiarism is a problem with far-reaching consequences for the sciences. However, even today's best software-based systems can only reliably identify copy&paste plagiarism. Disguised plagiarism forms, including paraphrased text, cross-language plagiarism, as well as structural and idea plagiarism often remain undetected. This weakness of current systems results in a large percentage of scientific plagiarism going undetected. Bela Gipp provides an overview of the state-of-the art in plagiarism detection and an analysis of why these approaches fail to detect disguised plagiarism forms. The author proposes Citation-based Plagiarism Detection to address this shortcoming. Unlike character-based approaches, this approach does not rely on text comparisons alone, but analyzes citation patterns within documents to form a language-independent "semantic fingerprint" for similarity assessment. The practicability of Citation-based Plagiarism Detection was proven by its capability to identify so-far non-machine detectable plagiarism in scientific publications.

Contents

  • Current state of plagiarism detection approaches and systems
  • Citation-based Plagiarism Detection

Target Groups

  • Readers interested in the problem of plagiarism in the sciences
  • Faculty and students from all disciplines, but especially computer science

The Author

Bela Gipp is a postdoctoral researcher at the University of California, Berkeley.

Detalles

  • Título Citation-Based Plagiarism Detection: Detecting Disguised and Cross-Language Plagiarism Using Citation Pattern Analysis
  • Autor Bela Gipp
  • Encuadernación Tapa blanda
  • Páginas 350
  • Volúmenes 1
  • Idioma ENG
  • Editorial Springer Vieweg
  • Fecha de publicación 2014-07-14
  • Ilustrado
  • Features Illustrated
  • ISBN 9783658063931 / 3658063939
  • Peso 1.09 libras (0.49 kg)
  • Dimensiones 8.27 x 5.83 x 0.84 pulgadas (21.01 x 14.81 x 2.13 cm)
  • Temas
    • Aspects (Academic): Science/Technology Aspects
  • Dewey Decimal Code 005.7

Acerca del autor

Bela Gipp is a postdoctoral researcher at the University of California, Berkeley.
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Citation-based Plagiarism Detection: Detecting Disguised and Cross-language Plagiarism using Citation Pattern Analysis

de Bela Gipp

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  • Tapa blanda
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9783658063931 / 3658063939
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Descripción:
Paperback / softback. New. Disguised plagiarism forms, including paraphrased text, cross-language plagiarism, as well as structural and idea plagiarism often remain undetected. Bela Gipp provides an overview of the state-of-the art in plagiarism detection and an analysis of why these approaches fail to detect disguised plagiarism forms.
Precio
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Citation-based Plagiarism Detection: Detecting Disguised and Cross-language Plagiarism using...
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9783658063931 / 3658063939
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