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DKUM
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Title:
STATISTIČNA OBDELAVA PODATKOV O PODOBNIH DELIH NA INTERNETU
Authors:
ID
Merc, Alen
(Author)
ID
Ojsteršek, Milan
(Mentor)
More about this mentor...
Files:
VS_Merc_Alen_2013.pdf
(5,39 MB)
MD5: A5CF71D0D3AE1D0BED156F54E8EF5BF4
Language:
Slovenian
Work type:
Undergraduate thesis
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V diplomskem delu najprej predstavimo pojem plagiatorstva. Osredotočimo se na njegove značilnosti, kako ga odkrivamo ter kako ga preprečimo. Pojem plagiatorstva prav tako poskusimo opredeliti iz pravnega, kulturnega in etičnega vidika. Posebno poglavje je namenjeno kratkemu opisu opreme za odkrivanje plagiatov v besedilih. Iz nacionalnega portala odprte znanosti in drugih virov smo s pomočjo programa za odkrivanje podobnosti v besedilih ugotavljali podobnosti med posameznimi deli slovenskih univerz. Rezultate te obdelave smo podali v praktičnem delu diplomskega dela.
Keywords:
plagiatorstvo
,
statistične metode
,
sistemi za detekcijo plagiatov
,
procesiranje naravnega jezika
Place of publishing:
Maribor
Publisher:
[A. Merc]
Year of publishing:
2013
PID:
20.500.12556/DKUM-43321
UDC:
004.6:004.777(043.2)
COBISS.SI-ID:
17630998
NUK URN:
URN:SI:UM:DK:H3WUMC1N
Publication date in DKUM:
03.01.2014
Views:
1773
Downloads:
149
Metadata:
Categories:
KTFMB - FERI
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Secondary language
Language:
English
Title:
STATISTICAL DATA PROCESSING OF THE SIMILAR WORKS ON THE INTERNET
Abstract:
In the beginning of thesis concept of plagiarism is introduced, focusing on its characteristics and ways of discovering as well as preventing it. Plagiarism is also defined from legal, cultural and ethical point of view. In a special chapter plagiarism detection software is shortly described. Text documents from Open Science Slovenia and other sources of Slovenian Universities' works were used for detecting similarities between texts. The results of processing the texts by using the plagiarism detection software are presented in the practical part of this thesis.
Keywords:
plagiarism
,
statistical methods
,
plagiarism detection systems
,
natural language processing
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