Cantitate/Preț
Produs

Citation-based Plagiarism Detection: Detecting Disguised and Cross-language Plagiarism using Citation Pattern Analysis

Autor Bela Gipp
en Limba Engleză Paperback – 14 iul 2014
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.
Citește tot Restrânge

Preț: 33518 lei

Preț vechi: 41898 lei
-20% Nou

Puncte Express: 503

Preț estimativ în valută:
6414 6656$ 5361£

Carte tipărită la comandă

Livrare economică 15-29 martie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783658063931
ISBN-10: 3658063939
Pagini: 376
Ilustrații: XXVI, 350 p. 70 illus.
Dimensiuni: 148 x 210 x 22 mm
Greutate: 0.49 kg
Ediția:2014
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Vieweg
Locul publicării:Wiesbaden, Germany

Public țintă

Research

Cuprins

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

Notă biografică

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

Textul de pe ultima copertă

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.

Caracteristici

Publication in the field of technical sciences Includes supplementary material: sn.pub/extras