A meta-engineering approach for document-centered knowledge acquisition:
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Datensatz im Suchindex
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| adam_text | A META-ENGINEERING APPROACH FOR
DOCUMENT-CENTERED KNOWLEDGE ACQUISITION
VORGELEGT VON
JOCHEN REUTELSHOFER
WIIRZBURG, 2014
DISSERTATION ZUR ERLANGUNG DES NATURWISSENSCHAFTLICHEN DOKTORGRADES
DER BAYERISCHEN JULIUS-MAXIMILIANS-UNIVERSITAT WIIRZBURG
HTTP://D-NB.INFO/1066682925
CONTENTS
ABSTRACT 5
ACKNOWLEDGEMENTS -7
FOREWORD 9
1 INTRODUCTION 17
1.1 RESEARCH IN KNOWLEDGE ACQUISITION 18
1.1.1 AN OVERVIEW OF KNOWLEDGE ACQUISITION HISTORY 19
1.1.2 PROGRESS IN KNOWLEDGE ACQUISITION RESEARCH 21
1.2 KNOWLEDGE IN A BOTTLE 23
1.2.1 THE KNOWLEDGE ACQUISITION BOTTLENECK 23
1.2.2 THE COMPETENCY DILEMMA IN KNOWLEDGE ENGINEERING 24
1.2.2.1 DIRECT VS. INDIRECT KNOWLEDGE ACQUISITION 25
1.2.2.2 A MIXED-INITIATIVE APPROACH BY ACTIVE PARTICIPATION 26
1.2.3 KNOWLEDGE ACQUISITION IN A COGNITIVE ENVIRONMENT FOR SOCIAL
PROCESSES 28
1.3 ABOUT KNOWLEDGE 31
1.3.1 SYSTEMS LEVELS 31
1.3.2 THE KNOWLEDGE LEVEL 32
1.3.3 KNOWLEDGE ACQUISITION IN THE KNOWLEDGE LEVEL PERSPECTIVE 34
1.4 CONTRIBUTION OF THIS WORK 35
1.4.1 GOALS 35
1.4.1.1 THE GOALS OF THE SOCIAL PROCESS 36
1.4.1.2 THE KNOWLEDGE ACQUISITION PROCESS 36
1.4.1.3, PURPOSE OF THIS WORK 37
1.4.2 SCOPE 38
1.5 STRUCTURE OF THIS WORK 39
2 APPROACHES FOR KNOWLEDGE BASE AUTHORING 41
2.1 FORM-BASED AUTHORING 41
2.2 GRAPH-BASED AUTHORING 43
2.3 TABLE-BASED AUTHORING 45
2.4 AUTHORING BY DOMAIN SPECIFIC LANGUAGES 46
2.5 DOCUMENT-BASED AUTHORING 48
2.6 APPROACH OF THIS WORK 49
11
CONTENTS
3 DOCUMENT-CENTERED KNOWLEDGE ACQUISITION 51
3.1 DCKA IN A NUTSHELL 51
3.1.1 DOCUMENTS FOR KNOWLEDGE BASE DEVELOPMENT 52
3.1.2 KNOWLEDGE MARKUP LANGUAGES 54
3.1.3 MULTIMODAL KNOWLEDGE 55
3.1.4 THE DOCUMENT SPACE 58
3.1.4.1 THE DOCUMENT SPACE AS A GRAPH 58
3.1.4.2 THE DOCUMENT SPACE AND HUMAN MENTAL MODELS 58
3.1.5 THE COLLABORATIVE SOCIAL PROCESS OF DCKA 62
3.1.5.1 PRECONDITIONS 62
3.1.5.2 MIXED-INITIATIVE KA BY INCREMENTAL FORMALIZATION . ...... 64
3.1.5.3 MUTUAL EXCHANGE OF EXPERTISE 65
3.1.6 AUTHORING OF MULTIMODAL KNOWLEDGE 68
3.1.6.1 A HUMAN-COMPUTER INTERACTION MODEL OF INTERACTIVE ALIGNMENT 69
3.1.6.2 THE LEVELS OF KNOWLEDGE COMMUNICATION 69
3.1.6.3 PROBLEMS IN MARKUP-BASED KNOWLEDGE AUTHORING 70
3.1.6.4 SUPPORT FOR KNOWLEDGE AUTHORING 71
3.2 THE ADVANTAGES AND CHALLENGES OF DCKA . . 73
3.2.1 ADVANTAGES 73
3.2.1.1 LOW BARRIERS FOR BASIC CONTRIBUTIONS 73
3.2.1.2 INCREMENTAL FORMALIZATION 73
3.2.1.3 FREEDOM OF STRUCTURING 74
3.2.1.4 EXAMPLE-BASED AUTHORING 74
3.2.1.5 QUALITY MANAGEMENT 75
3.2.2 CHALLENGES 75
3.2.2.1 AUTHORING ASSISTANCE 75
3.2.2.2 CONTENT REFACTORING 76
3.2.2.3 NAVIGATION AND SEARCH 77
3.2.2.4 REDUNDANCY DETECTION 78
3.2.2.5 DEBUGGING 78
3.2.3 REQUIREMENTS FOR A DOCUMENT-CENTERED AUTHORING ENVIRONMENT .... 79
3.3 SEMANTIC WIKIS AND DCKA 80
3.3.1 SEMANTIC WIKIS 80
3.3.2 WIKIS AND DCKA 80
3.3.3 SEMANTIC WIKIS AND KNOWLEDGE ENGINEERING 81
3.4 MARKUP-BASED KNOWLEDGE ACQUISITION TOOLS 82
3.5 DIFFERENT APPLICATION SCENARIOS FOR DCKA 83
3.5.1 ONTOLOGIES IN RDFS/OWL 83
3.5.1.1 MARKUP FOR RDFS: 84
3.5.1.2 MARKUP FOR OWL 86
3.5.2 DIAGNOSTIC PROBLEM-SOLVING KNOWLEDGE WITH D3WEB 86
3.5.2.1 MARKUPS 88
3.5.2.2 KNOWLEDGE ORGANIZATION 89
3.5.3 KNOWLEDGE FOR EXPLORATORY DATA ANALYSIS 90
12
CONTENTS
3.5.4 TRAINING CASES FOR E-LEARNING WITH CASETRAIN 92
3.6 COMMONKADS 93
3.6.1 A BRIEF OVERVIEW OF COMMONKADS 93
3.6.1.1 THE COMMONKADS MODEL SUITE 93
3.6.1.2 THE COMMONKADS PROCESS MODEL 94
3.6.1.3 THE COMMONKADS ROLE MODEL 94
3.6.2 COMMONKADS AND DCKA 95
3.6.2.1 COMPARISON 95
3.6.2.2 COMBINING DCKA AND COMMONKADS 95
4 A META-ENGINEERING APPROACH FOR DCKA 97
4.1 AN OVERVIEW OF KNOWLEDGE ACQUISITION TOOL CUSTOMIZATION 98
4.2 DESIGN TIME AND USE TIME: THE SYSTEMS DESIGN DILEMMA 99
4.2.1 AGILE SOFTWARE DEVELOPMENT 100
4.2.2 META-DESIGN 100
4.3 FLEXIBILITY AND COORDINATION IN DCKA 101 -
4.3.1 FLEXIBILITY IN DOCUMENT-CENTERED KNOWLEDGE ACQUISITION 101
4.3.2 THE DOCUMENT-CENTERED KNOWLEDGE ACQUISITION ARCHITECTURE 102
4.4 THE META-ENGINEERING PROCESS FOR DCKA 103
4.4.1 EXPLORATION 104
4.4.2 DESIGN 105
4.4.2.1 MARKUP DESIGN PRINCIPLES 106
4.4.2.2 MARKUP ASPECTS ILL
4.4.3 IMPLEMENTATION 114
4.4.3.1 SYSTEM LEVEL 114
4.4.3.2 CONTENT LEVEL 115
4.4.4 KNOWLEDGE ACQUISITION 115
4.4.5 CONCLUSION 116
4.4.5.1 LANGUAGE COMPLEXITY VS. MODEL COMPLEXITY 117
4.4.5.2 META-DESIGN: GUI-BASED TOOLS VS. DCKA 118
4.5 EXTENDING SEMANTIC WIKIS 118
4.5.1 DIMENSIONS OF SEMANTIC WIKI EXTENSIONS 119
4.5.2 DECORATING SEMANTIC WIKIS 121
4.5.3 CHALLENGES TOWARDS AN EXTENSIBLE SEMANTIC WIKI 122
5 TECHNIQUES FOR THE IMPLEMENTATION OF DCKA 123
5.1 COMPARISON WITH SOFTWARE ENGINEERING 124
5.2 OVERVIEW: TECHNIQUES PRESENTED 126
5.3 PARSING OF MULTIMODAL KNOWLEDGE 126
5.3.1 THE KDOM DATA-STRUCTURE 126
5.3.2 A TOP-DOWN PARSING ALGORITHM 127
5.3.2.1 DESCRIPTION 128
5.3.2.2 PERFORMANCE 129
5.3.2.3 EXAMPLE 130
13
CONTENTS
5.3.2.4 DISCUSSION 133
5.3.3 EXTENSION 1: INCREMENTAL TOP-DOWN PARSING 134
5.3.3.1 DESCRIPTION 135
5.3.3.2 PERFORMANCE 136
5.3.3.3 DISCUSSION 136
5.3.4 EXTENSION 2: CARDINALITY CONSTRAINTS 137
5.3.4.1 DESCRIPTION 137
5.3.4.2 PERFORMANCE 138
5.3.4.3 DISCUSSION 138
5.3.5 EXTENSION 3: BACKTRACKING FOR TOP-DOWN PARSING 139
5.3.5.1 DESCRIPTION 139
5.3.5.2 PERFORMANCE 141
5.3.5.3 DISCUSSION 141
5.3.6 IMPLEMENTATION ARCHITECTURE 141
5.3.7 TUTORIAL: IMPLEMENTING MARKUPS AS KDOM SCHEMAS 143
5.3.7.1 INTRODUCTION BY EXAMPLES 143
5.3.7.2 RECURSIVE KDOM SCHEMAS 147
5.3.7.3 LIMITS OF KDOM SCHEMA PARSING 150
5.4 TERMINOLOGY RESOLUTION AND KNOWLEDGE GENERATION 153
/
5.4.1 REFERENCE RESOLUTION IN CLOSED-WORLD AUTHORING 154
5.4.2 AN ABSTRACT MODEL FOR KNOWLEDGE BASES 155
5.4.3 A FORMAL MODEL FOR KNOWLEDGE AUTHORING 156
5.4.4 CLOSED-WORLD AUTHORING RECONSIDERED 157
5.4.4.1 STRICT OBJECT DEFINITION 157
5.4.4.2 COMPLEX OBJECT DEFINITIONS 158
5.4.5 THE KNOWLEDGE COMPILATION TASK SUMMARIZED 158
5.4.6 THE RESOURCE DELTA 159
5.4.7 THE GENERICITY OF THE INCREMENTAL KNOWLEDGE BASE UPDATE TASK . . .
. 159
5.4.8 AN INCREMENTAL KNOWLEDGE BASE UPDATE ALGORITHM 161
5.4.8.1 DESCRIPTION 161
5.4.8.2 TERMINATION 161
5.4.8.3 EFFICIENCY 163
5.4.8.4 PROOF OF CORRECTNESS 163
5.4.9 DISCUSSION 165
5.5 A META-MODEL FOR THE DECLARATIVE IMPLEMENTATION OF MARKUPS 166
5.5.1 THE LEVELS OF MULTIMODAL KNOWLEDGE COMPILATION REVISITED 166
5.5.2 THE KNOWLEDGE MARKUP DESCRIPTION LANGUAGE 169
5.5.3 SEMANTICS 169
5.5.4 EXAMPLE 171
5.5.5 META-LEVEL AUTHORING SUPPORT 173
5.5.6 DISCUSSION 175
14
CONTENTS
6 AN AUTHORING ENVIRONMENT FOR DCKA 177
6.1 KNOW
WE: AN OVERVIEW 177
6.1.1 HISTORY 177
6.1.2 ARCHITECTURE 177
6.2 KNOWLEDGE ACQUISITION WITH KNOW WE 178
6.2.1 MANUAL KNOWLEDGE TESTING AND USE 178
6.2.2 AUTOMATED TESTING BY CONTINUOUS INTEGRATION 181
6.2.3 DEBUGGING 183
6.2.3.1 THE RULE DEBUGGER 183
6.2.3.2 THE RULE MARKUP RENDERING COMPONENT 184
6.2.4 REFACTORING 185
6.2.5 AUTHORING SUPPORT 186
6.2.5.1 INSTANT EDITING 186
6.2.5.2 TABLE EDITING 186
6.2.5.3 CODE COMPLETION 187
6.2.5.4 DRAG & DROP 187
6.2.5.5 TERM OVERVIEW 189
7 CASE STUDIES 191,
7.1 ESAT: ASSISTING TECHNOLOGIES FOR HANDICAPPED PERSONS 191
7.1.1 INTRODUCTION 191
7.1.2 APPLICATION SCENARIO 191
7.1.3 KNOWLEDGE BASE STRUCTURE 192
7.1.4 THE META-ENGINEERING PROCESS 192
7.1.4.1 KNOWLEDGE ACQUISITION ARCHITECTURE 192
7.1.4.2 MARKUPS 193
7.1.5 DISCUSSION 198
7.1.6 SYSTEM USE 198
7.2 WISSASS: MEDICAL KNOWLEDGE ABOUT CATARACT SURGERY 200
7.2.1 INTRODUCTION 200
7.2.2 APPLICATION SCENARIO 200
7.2.3 KNOWLEDGE BASE STRUCTURE 201
7.2.4 KNOWLEDGE ACQUISITION PROCESS 201
7.2.4.1 SEEDING OF AN INITIAL KNOWLEDGE BASE 201
7.2.4.2 THE META-ENGINEERING PROCESS 203
7.2.4.3 OUTLOOK 207
7.2.5 SYSTEM USE 208
7.3 MANAGING CHEMICAL SAFETY WITH KNOWSEC 209
7.3.1 INTRODUCTION 209
7.3.2 APPLICATION SCENARIO 209
7.3.3 KNOWLEDGE BASE STRUCTURE 209
7.3.4 THE META-ENGINEERING PROCESS 210
7.3.5 SYSTEM USE 212
15
CONTENTS
7.4 MAINTENANCE KNOWLEDGE FOR SPECIAL PURPOSE MACHINES 213
7.4.1 INTRODUCTION 213
7.4.2 APPLICATION SCENARIO 213
7.4.3 KNOWLEDGE BASE STRUCTURE 213
7.4.4 KNOWLEDGE ACQUISITION 213
7.4.5 SYSTEM USE 215
7.5 HERMESWIKI: E-LEARNING IN ANCIENT GREEK HISTORY 216
7.5.1 INTRODUCTION 216
7.5.2 KNOWLEDGE ACQUISITION ARCHITECTURE 216
7.5.3 THE META-ENGINEERING PROCESS 218
7.5.4 SYSTEM USE 219
7.5.4.1 GENERATED GEOGRAPHIC CV 219
7.5.4.2 AUTOMATED QUIZ SESSIONS 219
8 CONCLUSION 221
8.1 SUMMARY 221
8.1.1 INTRODUCTION 221
8.1.2 APPROACHES FOR KNOWLEDGE BASE AUTHORING 222
8.1.3 DOCUMENT-CENTERED KNOWLEDGE ACQUISITION 222
8.1.4 A META-ENGINEERING APPROACH FOR DCKA 223
8.1.5 TECHNIQUES FOR THE IMPLEMENTATION OF DCKA
R
. . 224
8.1.6 KNOW
WE - AN AUTHORING ENVIRONMENT FOR DCKA 224
8.1.7 CASE STUDIES 225
8.2 OUTLOOK 225
8.2.1 A CATALOGUE OF MARKUP DESIGN GUIDELINES 225
8.2.2 COMBINATION WITH HEAVY-WEIGHT KNOWLEDGE ACQUISITION APPROACHES .
226
8.2.3 FORMAL DEFINITION OF THE KAA 226
8.2.4 USER INTERFACE AND DEPLOYMENT 227
8.2.5 LEARNING MATERIAL 227
8.3 DISCUSSION 228
ABBREVIATIONS 229
BIBLIOGRAPHY 231
16
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| spelling | Reutelshöfer, Jochen Verfasser (DE-588)1065836848 aut A meta-engineering approach for document-centered knowledge acquisition von Jochen Reutelshöfer Ein Meta-Engineering Ansatz für dokumentenzentrierte Wissensakquisition 2014 247 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Würzburg, Univ., Diss., 2014 Wissenstechnik (DE-588)4192641-9 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Wissenstechnik (DE-588)4192641-9 s DE-604 Erscheint auch als Online-Ausgabe urn:nbn:de:bvb:20-opus-107523 https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-107523 Resolving-System kostenfrei Volltext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027735225&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Reutelshöfer, Jochen A meta-engineering approach for document-centered knowledge acquisition Wissenstechnik (DE-588)4192641-9 gnd |
| subject_GND | (DE-588)4192641-9 (DE-588)4113937-9 |
| title | A meta-engineering approach for document-centered knowledge acquisition |
| title_alt | Ein Meta-Engineering Ansatz für dokumentenzentrierte Wissensakquisition |
| title_auth | A meta-engineering approach for document-centered knowledge acquisition |
| title_exact_search | A meta-engineering approach for document-centered knowledge acquisition |
| title_full | A meta-engineering approach for document-centered knowledge acquisition von Jochen Reutelshöfer |
| title_fullStr | A meta-engineering approach for document-centered knowledge acquisition von Jochen Reutelshöfer |
| title_full_unstemmed | A meta-engineering approach for document-centered knowledge acquisition von Jochen Reutelshöfer |
| title_short | A meta-engineering approach for document-centered knowledge acquisition |
| title_sort | a meta engineering approach for document centered knowledge acquisition |
| topic | Wissenstechnik (DE-588)4192641-9 gnd |
| topic_facet | Wissenstechnik Hochschulschrift |
| url | https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-107523 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027735225&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT reutelshoferjochen ametaengineeringapproachfordocumentcenteredknowledgeacquisition AT reutelshoferjochen einmetaengineeringansatzfurdokumentenzentriertewissensakquisition |