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.
- ISBN:
- 9783658063931
- 9783658063931
-
Category:
- Artificial intelligence
- Format:
- Paperback
- Publication Date:
-
14-07-2014
- Publisher:
- Springer Fachmedien Wiesbaden
- Country of origin:
- Germany
- Pages:
- 350
- Dimensions (mm):
- 210x148x21mm
- Weight:
- 4.85kg
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