Citation-based Plagiarism Detection (Record no. 57830)
[ view plain ]
000 -LEADER | |
---|---|
fixed length control field | 02904nam a22004335i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-658-06394-8 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200421112228.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 140626s2014 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783658063948 |
-- | 978-3-658-06394-8 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006 |
100 1# - AUTHOR NAME | |
Author | Gipp, Bela. |
245 10 - TITLE STATEMENT | |
Title | Citation-based Plagiarism Detection |
Sub Title | Detecting Disguised and Cross-language Plagiarism using Citation Pattern Analysis / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XXVI, 350 p. 70 illus. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-658-06394-8 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Wiesbaden : |
-- | Springer Fachmedien Wiesbaden : |
-- | Imprint: Springer Vieweg, |
-- | 2014. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer science. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computers. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computing Methodologies. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Information Systems and Communication Service. |
912 ## - | |
-- | ZDB-2-SCS |
No items available.