| 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 |
||