000 02904nam a22004335i 4500
001 978-3-658-06394-8
003 DE-He213
005 20200421112228.0
007 cr nn 008mamaa
008 140626s2014 gw | s |||| 0|eng d
020 _a9783658063948
_9978-3-658-06394-8
024 7 _a10.1007/978-3-658-06394-8
_2doi
050 4 _aQA75.5-76.95
072 7 _aUMA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aCOM018000
_2bisacsh
082 0 4 _a006
_223
100 1 _aGipp, Bela.
_eauthor.
245 1 0 _aCitation-based Plagiarism Detection
_h[electronic resource] :
_bDetecting Disguised and Cross-language Plagiarism using Citation Pattern Analysis /
_cby Bela Gipp.
264 1 _aWiesbaden :
_bSpringer Fachmedien Wiesbaden :
_bImprint: Springer Vieweg,
_c2014.
300 _aXXVI, 350 p. 70 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
520 _aPlagiarism 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.
650 0 _aComputer science.
650 0 _aComputers.
650 1 4 _aComputer Science.
650 2 4 _aComputing Methodologies.
650 2 4 _aInformation Systems and Communication Service.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783658063931
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-658-06394-8
912 _aZDB-2-SCS
942 _cEBK
999 _c57830
_d57830