Bela Gipp

Citation-based Plagiarism Detection (eBook, PDF)

Detecting Disguised and Cross-language Plagiarism using Citation Pattern Analysis

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Fachmedien Wiesbaden
• Seitenzahl: 350
• Erscheinungstermin: 26. Juni 2014
• Englisch
• ISBN-13: 9783658063948
• Artikelnr.: 44222942

Autorenporträt

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

Inhaltsangabe

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