Supporting format migration with ontology model comparison:
Gespeichert in:
1. Verfasser: | |
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Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
Bamberg
University of Bamberg Press
2018
|
Schriftenreihe: | Schriften aus der Fakultät Wirtschaftsinformatik und Angewandte Informatik der Otto-Friedrich-Universität Bamberg
Band 29 |
Schlagworte: | |
Online-Zugang: | Volltext Inhaltsverzeichnis |
Beschreibung: | vi, 301 Seiten Diagramme 24 cm |
ISBN: | 9783863095772 3863095774 |
Internformat
MARC
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Datensatz im Suchindex
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adam_text | CONTENTS
CONTENTS
I
1.
INTRODUCTION
1
1.1.
BUILT
HERITAGE
DIGITAL
MAPS
.................................................................
3
1.2.
MAPPING
A
MAP:
LOW
EFFORT
MIGRATION
..............................................
5
1.3.
RESEARCH
QUESTIONS
AND
METHODOLOGY
..............................................
13
1.4.
STRUCTURE
OF
THIS
THESIS
.......................................................................
16
2.
DIGITAL
PRESERVATION
19
2.1.
INFORMATION
REPRESENTATION
.................................................................
19
2.2.
INTELLIGIBILITY
..........................................................................................
21
2.3.
FORMAT
AGEING
.......................................................................................
25
2.4.
STRUCTURE
AND
OPERATION
OF
A
DIGITAL
ARCHIVE
.....................................
26
2.5.
APPROACHES
TO
THE
PRESERVATION
OF
DIGITAL
DOCUMENTS
......................
29
2.5.1.
INTELLIGIBILITY
MANAGEMENT
.....................................................
29
2.5.2.
BITSTREAM
PRESERVATION
...........................................................
29
2.5.3.
MONITORING
CONTEXTUAL
INTELLIGIBILITY
.....................................
30
2.5.4.
INTELLIGIBILITY
MONITORING
........................................................
31
2.5.5.
EMULATION
.................................................................................
32
2.5.6.
MIGRATION
....................................................................................
34
2.6.
SIGNIFICANT
PROPERTIES
AND
SEMANTIC
FEATURES
..................................
35
3.
FORMAT
CONVERSION
AND
ONTOLOGY
MATCHING
41
3.1.
ONTOLOGIES
.............................................................................................
41
3.1.1.
RELATED
WORK
..............................................................................
42
3.1.2.
ONTOLOGY
ELEMENTS
.....................................................................
43
3.1.3.
THREE
VIEWS
ON
ONTOLOGIES
.........................................................
45
3.1.4.
THE
ONTOLOGY
..............................................................................
56
3.2.
ONTOLOGY
ALIGNMENT
..............................................................................
57
3.2.1.
BRIDGING
ONTOLOGIES
.................................................................
59
3.2.2.
ONTOLOGY
MATCHING
.................................................................
63
3.2.3.
MEASURING
ALIGNMENT
QUALITY
...............................................
65
3.2.4.
CURRENT
DEVELOPMENTS
AND
CHALLENGES
IN
ONTOLOGY
ALIGN
MENT
..........................................................................................
67
3.3.
DOCUMENT
ONTOLOGIES
..........................................................................
74
4.
AUTOMATED
REASONING
IN
LILLYTAB
79
4.1.
KNOWLEDGE
REPRESENTATION
LOGICS
.....................................................
79
4.1.1.
AUTOMATED
INFERENCE
AND
REASONING
.....................................
80
4.1.2.
DESCRIPTION
LOGICS
....................................................................
83
4.1.3.
EXPRESSIVE
DESCRIPTION
LOGICS
...............................................
90
4.1.4.
DESCRIPTION
LOGIC
KNOWLEDGE
BASES
.....................................
93
II
4.2.
AUTOMATED
REASONING
IN
DESCRIPTION
LOGICS
.....................................
95
4.2.1.
BASICS
OF
TABLEAUX
REASONING
..................................................
96
4.2.2.
REASONER
OPTIMIZATIONS
.............................................................
105
4.3.
LILLYTAB
......................................................................................................
110
4.3.1.
RATIONALE
......................................................................................
112
4.3.2.
TABLEAU
RULES
.............................................................................
113
4.3.3.
TABLEAU
DATA
STRUCTURES
.............................................................
117
4.3.4.
REASONER
IMPLEMENTATION
.......................................................
119
5.
COMPLETION
GRAPH
BASED
MAPPING
121
5.1.
COMPLETION
GRAPHS
AND
QUERIES
..........................................................
121
5.1.1.
MAPPING
CONJUNCTIVE
QUERIES
TO
COMPLETION
GRAPHS
...
122
5.1.2.
EXTRACTING
QUERIES
FROM
COMPLETION
GRAPHS
........................
124
5.1.3.
HANDLING
NEGATION
...................................................................
129
5.1.4.
HANDLING
UNIVERSAL
QUANTIFIERS
..............................................
130
5.1.5.
HANDLING
TBOX-AXIOMS
.............................................................
132
5.1.6.
HANDLING
EXISTENTIAL
NON-DETERMINISM
.................................
134
5.1.7.
BENEFITS
OF
COMPLETION
GRAPH
REPRESENTATION
.........................
139
5.2.
A
MAPPING
TABLEAU
...................................................................................
139
5.2.1.
EXTRACTING
THE
CONJUNCTIVE
QUERY
...........................................
143
5.2.2.
QUERY
COMPLEXITY
......................................................................
155
5.3.
TUPLE
GENERATING
DEPENDENCIES
..........................................................
155
5.3.1.
SOURCE-TO-TARGET
PROPERTY
.........................................................
159
III
6.
MAPPING
REFINEMENT
163
6.1.
REFINEMENT
PROCESS
................................................................................
166
6.1.1.
MODEL-BASED
REFINEMENT
..........................................................
168
6.1.2.
REFINEMENT
STRATEGY
...................................................................
169
6.1.3.
MATCHER
MODE
.............................................................................
171
6.2.
REFINEMENT
RULES
...................................................................................
172
6.2.1.
SEMANTIC
REFINEMENT
RULES
.......................................................
175
6.2.2.
SUBCLASS
REFINEMENT
................................................................
176
6.2.3.
ROLE
SUCCESSOR
REFINEMENT
.......................................................
177
6.2.4.
REFINEMENT
PERFORMANCE
..........................................................
178
6.3.
INTERACTIVE
ALIGNMENT
.............................................................................
184
7.
COMPARING
DL
COMPLETION
GRAPHS
189
7.1.
REQUIREMENTS
ANALYSIS
..........................................................................
190
7.1.1.
ELEMENT
LEVEL
SIMILARITY
..........................................................
190
7.1.2.
MAXIMUM
INFORMATION
TRANSFER
AND
ALIGNMENT
LENGTH
.
.
192
7.1.3.
AVOIDING
UNJUSTIFIED
ELEMENTS
.................................................
193
7.1.4.
PHRASE
EXTRACTION
.......................................................................
194
7.1.5.
AXIOM
FILTERING
.........................................................................
200
7.1.6.
EGD
PATH
......................................................................................
202
7.1.7.
LOGICAL
DERIVATES
..........................................................................
207
7.2.
SIMILARITY
MEASURES
FOR
COMPLETION
GRAPHS
.......................................
207
7.2.1.
BASELINE
SIMILARITIES
...................................................................
207
7.2.2.
GOVERNING
TERM
COSINE
SIMILARITY
..........................................
211
7.2.3.
CLUSTERED
COSINE
SIMILARITY
.......................................................
211
IV
7.2.4.
DEPENDENCY
CLUSTER
SIMILARITY
.................................................
213
8.
EVALUATION
AND
CONCLUSION
221
8.1.
COMPARING
MAPPING
RULES
...................................................................
221
8.2.
EVALUATION
DESIGN
...................................................................................
223
8.3.
EVALUATION
RESULTS
...................................................................................
227
8.3.1.
INTERACTIVE
REFINEMENT
.............................................................
227
8.3.2. EFFECTS
OF
LEXICAL
EXTRACTOR
PARAMETERS
....................................
228
8.3.3. EFFECTS
OF
AXIOM
SET
SIMILARITY
.................................................
229
8.3.4. EFFECTS
OF
AXIOM
COLLECTION
.......................................................
229
8.3.5.
COMPARISON
OF
COMPLETION
GRAPH
SIMILARITY
MEASURES
.
.
229
8.4.
DISCUSSION
...............................................................................................
231
8.4.1.
INTERACTIVE
REFINEMENT
.............................................................
231
8.4.2.
AUTOMATIC
REFINEMENT
.............................................................
232
8.5.
SUMMARY
..................................................................................................
236
8.6.
FUTURE
WORK
............................................................................................
238
A.
APPENDIX
243
A.L.
NOTE
ON
NOTATION
.....................................................................................
243
A.
2.
PROOFS
........................................................................................................
247
A.
3.
RAW
EVALUATION
RESULTS
.........................................................................
254
LIST
OF
DEFINITIONS
261
LIST
OF
THEOREMS
265
LIST
OF
FIGURES
267
V
LIST
OF
TABLES
271
LIST
OF
ALGORITHMS
273
INDEX
275
BIBLIOGRAPHY
285
VI
|
any_adam_object | 1 |
author | Wullinger, Peter |
author_GND | (DE-588)1162641827 |
author_facet | Wullinger, Peter |
author_role | aut |
author_sort | Wullinger, Peter |
author_variant | p w pw |
building | Verbundindex |
bvnumber | BV045085620 |
classification_rvk | ST 265 |
collection | ebook |
ctrlnum | (OCoLC)1043093454 (DE-599)DNB1161865349 |
discipline | Informatik |
format | Thesis Book |
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genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV045085620 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:08:12Z |
institution | BVB |
institution_GND | (DE-588)1068114681 |
isbn | 9783863095772 3863095774 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030476511 |
oclc_num | 1043093454 |
open_access_boolean | 1 |
owner | DE-473 DE-BY-UBG DE-12 DE-22 DE-BY-UBG DE-384 DE-703 DE-1051 DE-824 DE-29 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-1049 DE-92 DE-739 DE-898 DE-BY-UBR DE-355 DE-BY-UBR DE-706 DE-20 DE-1102 DE-860 DE-2174 |
owner_facet | DE-473 DE-BY-UBG DE-12 DE-22 DE-BY-UBG DE-384 DE-703 DE-1051 DE-824 DE-29 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-1049 DE-92 DE-739 DE-898 DE-BY-UBR DE-355 DE-BY-UBR DE-706 DE-20 DE-1102 DE-860 DE-2174 |
physical | vi, 301 Seiten Diagramme 24 cm |
psigel | ebook |
publishDate | 2018 |
publishDateSearch | 2018 |
publishDateSort | 2018 |
publisher | University of Bamberg Press |
record_format | marc |
series | Schriften aus der Fakultät Wirtschaftsinformatik und Angewandte Informatik der Otto-Friedrich-Universität Bamberg |
series2 | Schriften aus der Fakultät Wirtschaftsinformatik und Angewandte Informatik der Otto-Friedrich-Universität Bamberg |
spelling | Wullinger, Peter Verfasser (DE-588)1162641827 aut Supporting format migration with ontology model comparison Peter Wullinger Bamberg University of Bamberg Press 2018 vi, 301 Seiten Diagramme 24 cm txt rdacontent n rdamedia nc rdacarrier Schriften aus der Fakultät Wirtschaftsinformatik und Angewandte Informatik der Otto-Friedrich-Universität Bamberg Band 29 Dissertation Otto-Friedrich-Universität Bamberg 2017 Ontologie (DE-588)4075660-9 gnd rswk-swf Vollständiger Graph (DE-588)4188588-0 gnd rswk-swf Terminologische Logik (DE-588)4359506-6 gnd rswk-swf Inferenz Künstliche Intelligenz (DE-588)4333533-0 gnd rswk-swf Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd rswk-swf Tableau Logik (DE-588)4590468-6 gnd rswk-swf Migration Informatik (DE-588)4226008-5 gnd rswk-swf Langzeitarchivierung (DE-588)4787040-0 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Terminologische Logik (DE-588)4359506-6 s Langzeitarchivierung (DE-588)4787040-0 s Ontologie (DE-588)4075660-9 s DE-604 Ontologie Wissensverarbeitung (DE-588)4827894-4 s Tableau Logik (DE-588)4590468-6 s Inferenz Künstliche Intelligenz (DE-588)4333533-0 s Vollständiger Graph (DE-588)4188588-0 s Migration Informatik (DE-588)4226008-5 s University of Bamberg Press (DE-588)1068114681 pbl Erscheint auch als Online-Ausgabe urn:nbn:de:bvb:473-opus4-517018 10.20378/irbo-51701 978-3-86309-578-9 Schriften aus der Fakultät Wirtschaftsinformatik und Angewandte Informatik der Otto-Friedrich-Universität Bamberg Band 29 (DE-604)BV035260948 29 3321 KB https://fis.uni-bamberg.de/handle/uniba/43598 Verlag kostenfrei Volltext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030476511&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Wullinger, Peter Supporting format migration with ontology model comparison Schriften aus der Fakultät Wirtschaftsinformatik und Angewandte Informatik der Otto-Friedrich-Universität Bamberg Ontologie (DE-588)4075660-9 gnd Vollständiger Graph (DE-588)4188588-0 gnd Terminologische Logik (DE-588)4359506-6 gnd Inferenz Künstliche Intelligenz (DE-588)4333533-0 gnd Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd Tableau Logik (DE-588)4590468-6 gnd Migration Informatik (DE-588)4226008-5 gnd Langzeitarchivierung (DE-588)4787040-0 gnd |
subject_GND | (DE-588)4075660-9 (DE-588)4188588-0 (DE-588)4359506-6 (DE-588)4333533-0 (DE-588)4827894-4 (DE-588)4590468-6 (DE-588)4226008-5 (DE-588)4787040-0 (DE-588)4113937-9 |
title | Supporting format migration with ontology model comparison |
title_auth | Supporting format migration with ontology model comparison |
title_exact_search | Supporting format migration with ontology model comparison |
title_full | Supporting format migration with ontology model comparison Peter Wullinger |
title_fullStr | Supporting format migration with ontology model comparison Peter Wullinger |
title_full_unstemmed | Supporting format migration with ontology model comparison Peter Wullinger |
title_short | Supporting format migration with ontology model comparison |
title_sort | supporting format migration with ontology model comparison |
topic | Ontologie (DE-588)4075660-9 gnd Vollständiger Graph (DE-588)4188588-0 gnd Terminologische Logik (DE-588)4359506-6 gnd Inferenz Künstliche Intelligenz (DE-588)4333533-0 gnd Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd Tableau Logik (DE-588)4590468-6 gnd Migration Informatik (DE-588)4226008-5 gnd Langzeitarchivierung (DE-588)4787040-0 gnd |
topic_facet | Ontologie Vollständiger Graph Terminologische Logik Inferenz Künstliche Intelligenz Ontologie Wissensverarbeitung Tableau Logik Migration Informatik Langzeitarchivierung Hochschulschrift |
url | https://fis.uni-bamberg.de/handle/uniba/43598 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030476511&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV035260948 |
work_keys_str_mv | AT wullingerpeter supportingformatmigrationwithontologymodelcomparison AT universityofbambergpress supportingformatmigrationwithontologymodelcomparison |