Analyzing non-textual content elements to detect academic plagiarism:
Gespeichert in:
1. Verfasser: | |
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Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
Wiesbaden, Germany
Springer Vieweg
[2023]
|
Schriftenreihe: | Research
|
Schlagworte: | |
Online-Zugang: | Inhaltstext Auszug Inhaltsverzeichnis Inhaltsverzeichnis |
Beschreibung: | xxiii, 272 Seiten Illustrationen, Diagramme 21 cm, 394 g |
ISBN: | 9783658420611 |
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300 | |a xxiii, 272 Seiten |b Illustrationen, Diagramme |c 21 cm, 394 g | ||
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653 | |a Plagiarism Detection | ||
653 | |a Math Retrieval | ||
653 | |a Natural Language Processing | ||
653 | |a Information Visualization | ||
653 | |a Citation Analysis | ||
653 | |a Content-based Image Retrieval | ||
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Datensatz im Suchindex
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adam_text |
CONTENTS
1
INTRODUCTION
.
1
1.1
PROBLEM
.
1
1.2
RESEARCH
GAP
.
3
1.3
RESEARCH
OBJECTIVE
.
4
1.4
THESIS
OUTLINE
AND
PRIOR
PUBLICATIONS
.
5
1.4.1
PUBLICATIONS
.
6
2
ACADEMIC
PLAGIARISM
DETECTION
.
9
2.1
DEFINITION
AND
TYPOLOGY
OF
PLAGIARISM
.
9
2.1.1
TYPOLOGIES
OF
ACADEMIC
PLAGIARISM
.
11
2.1.2
OUR
TYPOLOGY
OF
ACADEMIC
PLAGIARISM
.
12
2.2
RESEARCH
ON
ACADEMIC
PLAGIARISM
.
14
2.3
PLAGIARISM
DETECTION
PARADIGMS
.
16
2.3.1
EXTERNAL
PLAGIARISM
DETECTION
.
16
2.3.2
INTRINSIC
PLAGIARISM
DETECTION
.
19
2.4
PLAGIARISM
DETECTION
METHODS
.
21
2.4.1
PREPROCESSING
.
21
2.4.2
SIMILARITY
MEASURES
.
22
2.4.3
LEXICAL
DETECTION
METHODS
.
25
2.4.4
SYNTAX-BASED
DETECTION
METHODS
.
33
2.4.5
SEMANTICS-BASED
DETECTION
METHODS
.
34
2.4.6
IDEA-BASED
DETECTION
METHODS
.
41
2.4.7
HYBRID
DETECTION
METHODS
.
43
2.4.8
PLAGIARISM
DETECTION
SYSTEMS
.
48
XIV
CONTENTS
2.5
EVALUATION
OF
PD
METHODS
AND
SYSTEMS
.
50
2.5.1
EVALUATION
DATASETS
FOR
PLAGIARISM
DETECTION
.
50
2.5.2
EVALUATION
OF
PLAGIARISM
DETECTION
METHODS
.
57
2.5.3
EVALUATION
OF
PLAGIARISM
DETECTION
SYSTEMS
.
69
2.6
FINDINGS
OF
THE
LITERATURE
REVIEW
.
75
2.7
RESEARCH
APPROACH
.
77
3
CITATION-BASED
PLAGIARISM
DETECTION
.
79
3.1
CITATION-BASED
DOCUMENT
SIMILARITY
.
79
3.1.1
TERMINOLOGY
.
79
3.1.2
RELATED
WORK
.
80
3.2
CITATION-BASED
PD
CONCEPT
.
81
3.2.1
CONCEPTUALIZATION
OF
THE
DETECTION
APPROACH
.
82
3.2.2
CHALLENGES
TO
CITATION
PATTERN
IDENTIFICATION
.
85
3.3
CITATION-BASED
DETECTION
METHODS
.
86
3.3.1
BIBLIOGRAPHIC
COUPLING
.
86
3.3.2
LONGEST
COMMON
CITATION
SEQUENCE
.
87
3.3.3
GREEDY
CITATION
TILING
.
87
3.3.4
CITATION
CHUNKING
.
88
3.4
EVALUATION
METHODOLOGY
.
94
3.4.1
DATASET
.
95
3.4.2
EVALUATED
DETECTION
METHODS
.
96
3.4.3
CORPUS
PREPROCESSING
.
98
3.4.4
APPLYING
DETECTION
METHODS
AND
POOLING
.
100
3.4.5
ADDRESSING
FALSE
POSITIVES
.
102
3.4.6
COLLECTING
RELEVANCE
JUDGMENTS
.
104
3.5
RESULTS
.
106
3.5.1
RETRIEVAL
EFFECTIVENESS
.
106
3.5.2
COMPUTATIONAL
EFFICIENCY
.
113
3.5.3
USER
UTILITY
.
116
3.6
CONCLUSION
CITATION-BASED
PD
.
119
4
IMAGE-BASED
PLAGIARISM
DETECTION
.
121
4.1
RELATED
WORK
AND
RESEARCH
GAP
.
122
4.2
TYPES
OF
IMAGE
SIMILARITY
.
124
4.2.1
EXACT
COPIES
.
125
4.2.2
NEAR-DUPLICATE
IMAGES
.
125
4.2.3
ALTERED
IMAGES
.
126
4.2.4
VISUALIZING
REUSED
DATA
.
128
4.3
REQUIREMENTS
ANALYSIS
.
131
CONTENTS
XV
4.4
IMAGE-BASED
DETECTION
PROCESS
.
132
4.4.1
IMAGE
EXTRACTION
AND
DECOMPOSITION
.
133
4.4.2
IMAGE
CLASSIFICATION
.
134
4.4.3
PERCEPTUAL
HASHING
.
135
4.4.4
OCR
PREPROCESSING
.
135
4.4.5
N-GRAM
TEXT
MATCHING
.
136
4.4.6
POSITIONAL
TEXT
MATCHING
.
137
4.4.7
RATIO
HASHING
.
138
4.4.8
SCORING
.
140
4.5
EVALUATION
.
143
4.5.1
DISCUSSION
OF
RESULTS
.
146
4.6
CONCLUSION
IMAGE-BASED
PD
.
148
5
MATH-BASED
PLAGIARISM
DETECTION
.
149
5.1
MATH-BASED
PD
CONCEPT
.
149
5.1.1
RELATED
WORK
AND
RESEARCH
GAP
.
151
5.2
CONCEPTUALIZATION
OF
DETECTION
METHODS
.
153
5.2.1
INVESTIGATION
OF
PLAGIARISM
CASES
.
153
5.2.2
DEVISING
MATHEMATICAL
FEATURE
COMPARISONS
.
154
5.3
EVALUATION
DATASET
.
156
5.3.1
DOCUMENT
PREPROCESSING
.
158
5.3.2
DATASET
STATISTICS
.
159
5.4
PRELIMINARY
EXPERIMENTS
.
160
5.4.1
PERFORMANCE
MEASURES
.
160
5.4.2
RESULTS
.
161
5.5
MATH-BASED
DETECTION
PROCESS
.
162
5.5.1
INDEXING
.
163
5.5.2
CANDIDATE
RETRIEVAL
.
164
5.5.3
DETAILED
ANALYSIS
.
165
5.6
EVALUATION
METHODOLOGY
.
166
5.7
RESULTS
.
167
5.7.1
CONFIRMED
CASES
OF
PLAGIARISM
.
167
5.7.2
EXPLORATORY
STUDY
.
173
5.8
CONCLUSION
MATH-BASED
PD
.
176
6
HYBRID
PLAGIARISM
DETECTION
SYSTEM
.
179
6.1
SYSTEM
OVERVIEW
.
179
6.2
BACKEND
.
183
6.2.1
SUPPORTED
DOCUMENT
FORMATS
.
183
6.2.2
CONVERSION
AND
PARSING
.
183
XVI
CONTENTS
6.2.3
FEATURE
EXTRACTION
&
INDEXING
.
184
6.2.4
DETECTION
PROCESS
.
185
6.3
FRONTEND
.
185
6.3.1
DASHBOARD
VIEW
.
186
6.3.2
RESULTS
OVERVIEW
.
189
6.3.3
DETAILED
ANALYSIS
VIEW
.
192
6.4
CONCLUSION
HYBRID
PD
SYSTEM
.
195
7
CONCLUSION
AND
FUTURE
WORK
.
197
7.1
SUMMARY
.
197
7.2
CONTRIBUTIONS
OF
THE
THESIS
.
202
7.3
FUTURE
WORK
.
205
7.3.1
INCREASE
DETECTION
EFFECTIVENESS
.
205
7.3.2
IMPROVE
PLAGIARISM
DETECTION
SYSTEMS
.
211
7.3.3
OTHER
APPLICATIONS
.
215
7.3.4
PLAGIARISM
POLICY
IMPLICATIONS
.
217
GLOSSARY
.
219
REFERENCES
.
225 |
any_adam_object | 1 |
author | Meuschke, Norman |
author_GND | (DE-588)1317105257 |
author_facet | Meuschke, Norman |
author_role | aut |
author_sort | Meuschke, Norman |
author_variant | n m nm |
building | Verbundindex |
bvnumber | BV049757215 |
ctrlnum | (OCoLC)1407037504 (DE-599)DNB1291196366 |
dewey-full | 808.0250285 |
dewey-hundreds | 800 - Literature (Belles-lettres) and rhetoric |
dewey-ones | 808 - Rhetoric & collections of literature |
dewey-raw | 808.0250285 |
dewey-search | 808.0250285 |
dewey-sort | 3808.0250285 |
dewey-tens | 800 - Literature (Belles-lettres) and rhetoric |
discipline | Literaturwissenschaft |
format | Thesis Book |
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genre_facet | Hochschulschrift |
id | DE-604.BV049757215 |
illustrated | Illustrated |
indexdate | 2024-08-01T00:20:09Z |
institution | BVB |
institution_GND | (DE-588)1043386068 |
isbn | 9783658420611 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035098725 |
oclc_num | 1407037504 |
open_access_boolean | |
owner | DE-12 |
owner_facet | DE-12 |
physical | xxiii, 272 Seiten Illustrationen, Diagramme 21 cm, 394 g |
publishDate | 2023 |
publishDateSearch | 2023 |
publishDateSort | 2023 |
publisher | Springer Vieweg |
record_format | marc |
series2 | Research |
spelling | Meuschke, Norman Verfasser (DE-588)1317105257 aut Analyzing non-textual content elements to detect academic plagiarism Norman Meuschke Wiesbaden, Germany Springer Vieweg [2023] xxiii, 272 Seiten Illustrationen, Diagramme 21 cm, 394 g txt rdacontent n rdamedia nc rdacarrier Research Dissertation University of Konstanz Plagiat (DE-588)4046196-8 gnd rswk-swf Automatische Sprachanalyse (DE-588)4129935-8 gnd rswk-swf Erkennung (DE-588)4328500-4 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Plagiarism Detection Math Retrieval Natural Language Processing Information Visualization Citation Analysis Content-based Image Retrieval (DE-588)4113937-9 Hochschulschrift gnd-content Plagiat (DE-588)4046196-8 s Erkennung (DE-588)4328500-4 s Automatische Sprachanalyse (DE-588)4129935-8 s Maschinelles Sehen (DE-588)4129594-8 s Mustererkennung (DE-588)4040936-3 s DE-604 Springer Fachmedien Wiesbaden (DE-588)1043386068 pbl Erscheint auch als Online-Ausgabe 978-3-658-42062-8 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=59ac8f0ec86e499c9e854d7a08a1b060&prov=M&dok_var=1&dok_ext=htm Inhaltstext X:MVB https://link.springer.com/978-3-658-42061-1 Auszug B:DE-101 application/pdf https://d-nb.info/1291196366/04 Inhaltsverzeichnis DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035098725&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p dnb 20240222 DE-101 https://d-nb.info/provenance/plan#dnb 2\p dnb 20240222 DE-101 https://d-nb.info/provenance/plan#dnb |
spellingShingle | Meuschke, Norman Analyzing non-textual content elements to detect academic plagiarism Plagiat (DE-588)4046196-8 gnd Automatische Sprachanalyse (DE-588)4129935-8 gnd Erkennung (DE-588)4328500-4 gnd Mustererkennung (DE-588)4040936-3 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
subject_GND | (DE-588)4046196-8 (DE-588)4129935-8 (DE-588)4328500-4 (DE-588)4040936-3 (DE-588)4129594-8 (DE-588)4113937-9 |
title | Analyzing non-textual content elements to detect academic plagiarism |
title_auth | Analyzing non-textual content elements to detect academic plagiarism |
title_exact_search | Analyzing non-textual content elements to detect academic plagiarism |
title_full | Analyzing non-textual content elements to detect academic plagiarism Norman Meuschke |
title_fullStr | Analyzing non-textual content elements to detect academic plagiarism Norman Meuschke |
title_full_unstemmed | Analyzing non-textual content elements to detect academic plagiarism Norman Meuschke |
title_short | Analyzing non-textual content elements to detect academic plagiarism |
title_sort | analyzing non textual content elements to detect academic plagiarism |
topic | Plagiat (DE-588)4046196-8 gnd Automatische Sprachanalyse (DE-588)4129935-8 gnd Erkennung (DE-588)4328500-4 gnd Mustererkennung (DE-588)4040936-3 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
topic_facet | Plagiat Automatische Sprachanalyse Erkennung Mustererkennung Maschinelles Sehen Hochschulschrift |
url | http://deposit.dnb.de/cgi-bin/dokserv?id=59ac8f0ec86e499c9e854d7a08a1b060&prov=M&dok_var=1&dok_ext=htm https://link.springer.com/978-3-658-42061-1 https://d-nb.info/1291196366/04 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035098725&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT meuschkenorman analyzingnontextualcontentelementstodetectacademicplagiarism AT springerfachmedienwiesbaden analyzingnontextualcontentelementstodetectacademicplagiarism |