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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.
Produkteigenschaften
- Artikelnummer: 9783658063931
- Medium: Buch
- ISBN: 978-3-658-06393-1
- Verlag: Springer
- Erscheinungstermin: 14.07.2014
- Sprache(n): Englisch
- Auflage: 2014
- Produktform: Kartoniert
- Gewicht: 4846 g
- Seiten: 350
- Format (B x H x T): 148 x 210 x 21 mm
- Ausgabetyp: Kein, Unbekannt
Themen
- Interdisziplinäres
- Wissenschaften
- Wissenschaften: Allgemeines
- Wissenschaftliches Arbeiten, Studientechnik
- Mathematik | Informatik
- EDV | Informatik
- Technische Informatik
- Computersicherheit
- Datensicherheit, Datenschutz
- Interdisziplinäres
- Wissenschaften
- Wissenschaften: Allgemeines
- Wissenschaftliches Arbeiten, Studientechnik