Learning expressive ontologies:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Heidelberg
AKA IOS Press
[2009]
|
| Series: | Studies on the Semantic Web
v. 002 |
| Subjects: | |
| Online Access: | FAW01 FAW02 Volltext Inhaltsverzeichnis |
| Item Description: | Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002 Description based on print version record |
| Physical Description: | 1 online resource (x, 263 pages) illustrations |
| ISBN: | 1607500337 161499336X 389838621X 9781607500339 9781614993360 9783898386210 |
Staff View
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Record in the Search Index
| _version_ | 1804175390311186432 |
|---|---|
| adam_text | CONTENTS
1 INTRODUCTION 1
1.1 RESEARCH QUESTIONS AND CONTRIBUTIONS 2
1.1.1 RESEARCH QUESTIONS 2
1.1.2 CONTRIBUTIONS 4
1.2 READER S GUIDE 5
1 FOUNDATIONS 7
2 OVERVIEW 9
3 ONTOLOGIES 11
3.1 WEB ONTOLOGY LANGUAGE 12
3.2 OWL REASONING 15
4 ONTOLOGY EVALUATION 21
4.1 METHODOLOGIES 21
4.2 ONTOCLEAN 24
4.2.1 META-PROPERTIES 25
4.2.2 CONSTRAINTS 27
5 ONTOLOGY LEARNING 29
5.1 PERSPECTIVES ON ONTOLOGY LEARNING 30
5.2 SEMANTIC TRADITIONS 35
5.2.1 LEXICAL ONTOLOGY LEARNING 35
5.2.2 LOGICAL ONTOLOGY LEARNING 43
5.3 REQUIREMENTS ANALYSIS 48
6 BASIC METHODS 53
6.1 NATURAL LANGUAGE PROCESSING 53
6.1.1 LANGUAGE, SYNTAX AND SEMANTICS 53
6.1.2 SYNTACTIC ANALYSIS 55
6.1.3 LEXICAL SEMANTICS 57
6.1.4 WORDNET 59
6.2 MACHINE LEARNING 60
BIBLIOGRAFISCHE INFORMATIONEN
HTTP://D-NB.INFO/995230390
DIGITALISIERT DURCH
VIII CONTENTS
6.2.1 CLASSIFICATION 61
6.2.2 INDUCTIVE LOGIC PROGRAMMING 64
6.3 FORMAL CONCEPT ANALYSIS 66
6.3.1 RELATIONAL EXPLORATION 68
6.3.2 ROLE EXPLORATION 70
II METHODS FOR LEARNING EXPRESSIVE ONTOLOGIES 73
7 LEARNING CLASS DESCRIPTIONS 77
7.1 INTRODUCTION 79
7.2 ACQUISITION OF CLASS DESCRIPTIONS 79
7.2.1 CASE STUDY AND EXAMPLES 84
7.2.2 TECHNICAL DISCUSSION 86
7.3 LOGICAL REFINEMENT OF CLASS DESCRIPTIONS 88
7.4 INTEGRATED ARCHITECTURE 91
7.5 RELATEDWORK 98
7.6 CONCLUSION 100
7.7 OUTLOOK 100
8 LEARNING PROPERTY RESTRICTIONS 103
8.1 INTRODUCTION 104
8.2 ONTOLOGY REFINEMENT PROCESS 105
8.3 ACQUISITION OF PROPERTY RESTRICTIONS 107
8.4 EXAMPLE SCENARIO 109
8.4.1 RELEXO - REFINEMENT OF DOMAIN AND RANGE 110
8.4.2 ROLEXO - ACQUISITION OF PROPERTY RESTRICTIONS 111
8.5 RELATED WORK 114
8.6 CONCLUSION 116
8.7 OUTLOOK 116
9 LEARNING DISJOINTNESS AXIOMS 119
9.1 INTRODUCTION 120
9.2 FEATURES FOR LEARNING DISJOINTNESS 121
9.2.1 LOGICAL FEATURES 121
9.2.2 LEXICAL FEATURES 122
9.2.3 ADDITIONAL BACKGROUND KNOWLEDGE 124
9.3 EVALUATION SCENARIO 127
9.3.1 PROTON ONTOLOGY 127
9.3.2 EVALUATION SETTING: MANUAL TAGGINGS 128
9.3.3 ANALYSIS OF HUMAN ANNOTATIONS 129
9.3.4 DISCUSSION 130
9.4 RESULTS AND ANALYSIS 132
9.4.1 EXPERIMENTAL SETTINGS 132
9.4.2 RESULTS 133
CONTENTS IX
9.4.3 FEATURE RANKING 134
9.5 RELATED WORK 136
9.6 CONCLUSION 137
9.7 OUTLOOK 138
10 FORMAL CONSISTENCY 139
10.1 INTRODUCTION 141
10.2 TAGGING APPROACH 142
10.2.1 ARCHITECTURE AND IMPLEMENTATION 142
10.2.2 LEXICO-SYNTACTIC PATTERNS 144
10.2.3 DISCUSSION 147
10.3 EVALUATION OF AUTOMATIC TAGGING 148
10.3.1 ACQUISITION OF GOLD STANDARD 148
10.3.2 EVALUATION SETTING AND RESULTS 149
10.4 CONSTRAINT CHECKING 154
10.4.1 IMPLEMENTATION 154
10.4.2 ANALYSIS AND EXAMPLES 156
10.5 RELATED WORK 159
10.6 CONCLUSION 161
10.7 OUTLOOK 162
11 SUMMARY 165
III APPLICATIONS AND EVALUATION 167
12 HANDLING LOGICAL INCONSISTENCY 171
12.1 INTRODUCTION 172
12.2 LOGICAL INCONSISTENCY 172
12.3 UNCERTAINTY 174
12.3.1 COMPUTATION OF CONFIDENCE VALUES 175
12.4 RESOLVING LOGICAL INCONSISTENCIES IN LEARNED ONTOLOGIES 176
12.4.1 CONSISTENT ONTOLOGY EVOLUTION 177
12.4.2 INCONSISTENCY DIAGNOSIS AND REPAIR 179
12.5 EXPERIMENTS 181
12.5.1 CONSISTENT ONTOLOGY EVOLUTION 181
12.5.2 DEBUGGING LEARNED ONTOLOGIES 183
12.6 RELATED WORK 187
12.7 CONCLUSION 189
12.8 OUTLOOK 189
13 ONTOLOGY ALIGNMENT 191
13.1 INTRODUCTION 192
13.2 DEBUGGING MAPPINGS 193
13.3 EVALUATION SCENARIO 195
X CONTENTS
13.4 EVALUATION OF LEARNED DISJOINTNESS 196
13.4.1 SETTING 197
13.4.2 RESULTS 198
13.5 EVALUATION OF MAPPING DEBUGGING 199
13.5.1 SETTING 200
13.5.2 RESULTS 200
13.6 RELATED WORK 201
13.7 CONCLUSION 202
13.8 OUTLOOK 203
14 TOWARDS SEMI-AUTOMATIC ONTOLOGY ENGINEERING 205
14.1 INTRODUCTION 205
14.2 ONTOLOGY LEARNING FRAMEWORKS 208
14.3 NEON TOOLKIT 211
14.3.1 THE NEON PROJECT 211
14.3.2 ONTOLOGY LEARNING PLUGINS 215
14.4 CONCLUSION 217
14.5 OUTLOOK 218
15 SUMMARY 219
IV CONCLUSION 221
16 SUMMARY 223
17 OUTLOOK 227
18 CONCLUSION 229
|
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| author | Völker, Johanna |
| author_facet | Völker, Johanna |
| author_role | aut |
| author_sort | Völker, Johanna |
| author_variant | j v jv |
| building | Verbundindex |
| bvnumber | BV043032761 |
| collection | ZDB-4-EBA |
| contents | 1. Introduction -- I. Foundations -- 2. Overview -- 3. Ontologies -- 4. Ontology Evaluation -- 5. Ontology Learning -- 6. Basic Methods -- II. Methods for Learning Expressive Ontologies -- 7. Learning Class Descriptions -- 8. Learning Property Restrictions -- 9. Learning Disjointness Axioms -- 10. Formal Consistency -- 11. Summary -- III. Applications and Evaluation -- 12. Handling Logical Inconsistency -- 13. Ontology Alignment -- 14. Towards Semi-automatic Ontology Engineering -- 15. Summary -- IV. Conclusion -- 16. Summary -- 17. Outlook -- 18. Conclusion |
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| dewey-full | 621.38 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.38 |
| dewey-search | 621.38 |
| dewey-sort | 3621.38 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
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| spelling | Völker, Johanna Verfasser aut Learning expressive ontologies Johanna Völker Heidelberg AKA IOS Press [2009] © 2009 1 online resource (x, 263 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Studies on the Semantic Web v. 002 Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002 Description based on print version record 1. Introduction -- I. Foundations -- 2. Overview -- 3. Ontologies -- 4. Ontology Evaluation -- 5. Ontology Learning -- 6. Basic Methods -- II. Methods for Learning Expressive Ontologies -- 7. Learning Class Descriptions -- 8. Learning Property Restrictions -- 9. Learning Disjointness Axioms -- 10. Formal Consistency -- 11. Summary -- III. Applications and Evaluation -- 12. Handling Logical Inconsistency -- 13. Ontology Alignment -- 14. Towards Semi-automatic Ontology Engineering -- 15. Summary -- IV. Conclusion -- 16. Summary -- 17. Outlook -- 18. Conclusion Ontologie <Wissensverarbeitung> / Komplexität / Maschinelles Lernen TECHNOLOGY & ENGINEERING / Mechanical bisacsh Ontologies (Information retrieval) fast Semantic Web fast Ontologies (Information retrieval) Semantic Web IOS Press Sonstige oth Erscheint auch als Druck-Ausgabe Völker, Johanna Learning expressive ontologies http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=683311 Aggregator Volltext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028457411&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Völker, Johanna Learning expressive ontologies 1. Introduction -- I. Foundations -- 2. Overview -- 3. Ontologies -- 4. Ontology Evaluation -- 5. Ontology Learning -- 6. Basic Methods -- II. Methods for Learning Expressive Ontologies -- 7. Learning Class Descriptions -- 8. Learning Property Restrictions -- 9. Learning Disjointness Axioms -- 10. Formal Consistency -- 11. Summary -- III. Applications and Evaluation -- 12. Handling Logical Inconsistency -- 13. Ontology Alignment -- 14. Towards Semi-automatic Ontology Engineering -- 15. Summary -- IV. Conclusion -- 16. Summary -- 17. Outlook -- 18. Conclusion Ontologie <Wissensverarbeitung> / Komplexität / Maschinelles Lernen TECHNOLOGY & ENGINEERING / Mechanical bisacsh Ontologies (Information retrieval) fast Semantic Web fast Ontologies (Information retrieval) Semantic Web |
| title | Learning expressive ontologies |
| title_auth | Learning expressive ontologies |
| title_exact_search | Learning expressive ontologies |
| title_full | Learning expressive ontologies Johanna Völker |
| title_fullStr | Learning expressive ontologies Johanna Völker |
| title_full_unstemmed | Learning expressive ontologies Johanna Völker |
| title_short | Learning expressive ontologies |
| title_sort | learning expressive ontologies |
| topic | Ontologie <Wissensverarbeitung> / Komplexität / Maschinelles Lernen TECHNOLOGY & ENGINEERING / Mechanical bisacsh Ontologies (Information retrieval) fast Semantic Web fast Ontologies (Information retrieval) Semantic Web |
| topic_facet | Ontologie <Wissensverarbeitung> / Komplexität / Maschinelles Lernen TECHNOLOGY & ENGINEERING / Mechanical Ontologies (Information retrieval) Semantic Web |
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