Citation-based plagiarism detection : detecting disguised and cross-language plagiarism using citation pattern analysis /

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Bibliographic Details
Author / Creator:Gipp, Béla, author.
Imprint:Wiesbaden : Springer Vieweg, 2014.
Description:1 online resource (xxvi, 350 pages) : illustrations
Subject:Optical pattern recognition.
Information retrieval.
Bibliographical citations.
Computer Science.
Computing Methodologies.
Information Systems and Communication Service.
COMPUTERS -- General.
Bibliographical citations.
Information retrieval.
Optical pattern recognition.
Electronic books.
Format: E-Resource Book
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Notes:"Dissertation Otto-von-Guericke University Magdeburg, Germany, 2013."
Includes bibliographical references and index.
Online resource; title from PDF title page (SpringerLink, viewed July 7, 2014).
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 form:Print version: 9783658063948
Standard no.:10.1007/978-3-658-06394-8