|
|
|
|
| LEADER |
02905nam a22004215i 4500 |
| 001 |
978-3-658-06394-8 |
| 003 |
DE-He213 |
| 005 |
20151204182708.0 |
| 007 |
cr nn 008mamaa |
| 008 |
140626s2014 gw | s |||| 0|eng d |
| 020 |
|
|
|a 9783658063948
|9 978-3-658-06394-8
|
| 024 |
7 |
|
|a 10.1007/978-3-658-06394-8
|2 doi
|
| 040 |
|
|
|d GrThAP
|
| 050 |
|
4 |
|a QA75.5-76.95
|
| 072 |
|
7 |
|a UMA
|2 bicssc
|
| 072 |
|
7 |
|a COM014000
|2 bisacsh
|
| 072 |
|
7 |
|a COM018000
|2 bisacsh
|
| 082 |
0 |
4 |
|a 006
|2 23
|
| 100 |
1 |
|
|a Gipp, Bela.
|e author.
|
| 245 |
1 |
0 |
|a Citation-based Plagiarism Detection
|h [electronic resource] :
|b Detecting Disguised and Cross-language Plagiarism using Citation Pattern Analysis /
|c by Bela Gipp.
|
| 264 |
|
1 |
|a Wiesbaden :
|b Springer Fachmedien Wiesbaden :
|b Imprint: Springer Vieweg,
|c 2014.
|
| 300 |
|
|
|a XXVI, 350 p. 70 illus.
|b online resource.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|b PDF
|2 rda
|
| 520 |
|
|
|a 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.
|
| 650 |
|
0 |
|a Computer science.
|
| 650 |
|
0 |
|a Computers.
|
| 650 |
1 |
4 |
|a Computer Science.
|
| 650 |
2 |
4 |
|a Computing Methodologies.
|
| 650 |
2 |
4 |
|a Information Systems and Communication Service.
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783658063931
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-658-06394-8
|z Full Text via HEAL-Link
|
| 912 |
|
|
|a ZDB-2-SCS
|
| 950 |
|
|
|a Computer Science (Springer-11645)
|
