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Citation-based Plagiarism Detection : Detecting Disguised and Cross-language Plagiarism using Citation Pattern Analysis / by Bela Gipp.
- Format:
- Book
- Author/Creator:
- Gipp, Béla, author.
- Series:
- Computer Science (Springer-11645)
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computers.
- Artificial Intelligence.
- Information Systems and Communication Service.
- Local Subjects:
- Artificial Intelligence.
- Information Systems and Communication Service.
- Physical Description:
- 1 online resource (XXVI, 350 pages) : 70 illustrations
- Edition:
- First edition 2014.
- Contained In:
- Springer eBooks
- Place of Publication:
- Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2014.
- System Details:
- text file PDF
- Summary:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-658-06394-8
- 9783658063948
- Access Restriction:
- Restricted for use by site license.
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