Ontology-Driven Software Development
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2013
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Datensatz im Suchindex
| _version_ | 1819639314518114304 |
|---|---|
| adam_text | IMAGE 1
CONTENTS
1 INTRODUCTION 1
UWE ABMANN, JIIRGEN EBERT, JEFF Z. PAN, STEFFEN STAAB, AND YUTING ZHAO
1.1 VISION: FROM TYPE-SAFE TO CONSISTENCY-BASED AND GUIDED SOFTWARE
DEVELOPMENT 2
1.2 THIS BOOK: FROM MODEL-DRIVEN TO ODSD 4
1.3 WHO THIS BOOK 1 S FOR 11
1.3.1 I KNOW ABOUT SOFTWARE DEVELOPMENT, WHAT CAN I LEARN FROM THIS
BOOK? 11
1.3.2 I KNOW ABOUT ONTOLOGY, WHAT CAN I LEARN FROM THIS BOOK? 12
1.3.3 THE WEBSITE OF THIS BOOK 12
1.4 HOW TO READ THIS BOOK 12
1.4.1 PART I: ONTOLOGY AND SOFTWARE TECHNOLOGY 13
1.4.2 PART II: FOUNDATIONAL TECHNOLOGIES FOR ODSD 14
1.4.3 PART III: CONSISTENCY CHECKING IN ODSD 14
1.4.4 PART IV: ODSD WITH PROCESS GUIDANCE 14
PART I ONTOLOGY AND SOFTWARE TECHNOLOGIES
2 MODEL-DRIVEN SOFTWARE DEVELOPMENT 21
FERNANDO SILVA PARREIRAS, GERD GRONER, TOBIAS WALTER, ANDREAS FRIESEN,
TIRDAD RAHMANI, JENS LEMCKE, HANNES SCHWARZ, KRZYSZTOF MIKSA, CHRISTIAN
WENDE, AND UWE
ABMANN 2.1 INTRODUCTION OF M D E 21
2.1.1 MODELS 22
2.1.2 METAMODELS 22
2.1.3 MODELLING LANGUAGES 22
IX
HTTP://D-NB.INFO/1024099326
IMAGE 2
X C O N T E N T S
2.2 MDE LANGUAGES 23
2.2.1 UML CLASS DIAGRAM 23
2.2.2 METAMODELLING LANGUAGE 24
2.2.3 PROCESS MODELLING LANGUAGES 26
2.2.4 DOMAIN-SPECIFIC LANGUAGE 28
2.2.5 GRAPH-BASED LANGUAGES 29
2.2.6 FEATURE MODELLING LANGUAGES 33
2.3 TWO-DIMENSIONAL MODELLING 36
2.4 MODEL TRANSFORMATION LANGUAGES 37
2.4.1 ATLAS TRANSFORMATION LANGUAGE 38
2.4.2 GRAPH REPOSITORY TRANSFORMATION LANGUAGE * 39
2.5 CONSTRAINT AND QUERY LANGUAGES 43
2.5.1 THE OBJECT CONSTRAINT LANGUAGE 43
2.5.2 GRAPH REPOSITORY QUERY LANGUAGE 1 * 44
2.5.3 PROCESS ALGEBRA 48
2.6 CONCLUSION 5 0
3 ONTOLOGY LANGUAGES AND DESCRIPTION LOGICS 51
YUTING ZHAO, JEFF Z. PAN, EDWARD THOMAS, NOPHADOL JEKJANTUK, AND YUAN
REN 3.1 DESCRIPTION LOGICS 51
3 .1 .1 THE BASIC DESCRIPTION LANGUAGE A C 52
3.1.2 THE FAMILY O F A C LANGUAGES 53
3.1.3 REASONING TASKS IN DESCRIPTION LOGICS 54
3.1.4 COMPUTATIONAL PROPERTIES FOR DESCRIPTION LOGICS 55
3.2 THE OWL FAMILY OF ONTOLOGY LANGUAGES AND RELATED OTHERS 57
3.2.1 OWL 2 WEB ONTOLOGY LANGUAGE (OWL 2) 57
3.2.2 OWL 2 PROFILES 59
3.2.3 C + + 6 0
3.2.4 DL-LITE 61
3.2.5 OWL DL 64
3.3 CONCLUSION 67
4 CASE STUDIES FOR MARRYING ONTOLOGY AND SOFTWARE TECHNOLOGIES 69
KRZYSZTOF MIKSA, PAWEL SABINA, ANDREAS FRIESEN, TIRDAD RAHMANI, JENS
LEMCKE, CHRISTIAN WENDE, SRDJAN ZIVKOVIC, UWE ABMANN, AND ANDREAS BARTHO
4.1 CASE STUDIES ON DOMAIN ENGINEERING 69
4.1.1 PROBLEM DESCRIPTION 7 0
4.1.2 IMPLEMENTATION 72
4.1.3 RESULTS 74
4.2 CASE STUDIES ON PROCESS MODELLING AND REFINEMENT 74
4.2.1 INTRODUCTION 75
4.2.2 CASE STUDY: PROCESS REFINEMENT 78
IMAGE 3
C O N T E N T S X I
4.2.3 CASE STUDY: QUERYING TASKS AND ARTEFACTS 87
4.2.4 PROCESS REFINEMENT VALIDATION: IMPLEMENTATION AND RESULTS 9 0
4.2.5 QUERYING TASKS AND ARTEFACTS: IMPLEMENTATION AND RESULTS 90
4.3 CASE STUDY ON SOFTWARE PRODUCT LINE ENGINEERING 91
4.3.1 PROBLEM DESCRIPTION 91
4.3.2 CASE STUDY IMPLEMENTATION 92
4.3.3 RESULTS 93
4.4 CONCLUSION 94
PART II FOUNDATIONAL TECHNOLOGIES FOR ONTOLOGY-DRIVEN SOFTWARE
DEVELOPMENT
5 SCALABLE ONTOLOGY REASONING SERVICES 9 9
EDWARD THOMAS, YUAN REN, JEFF Z. PAN, YUTING ZHAO, AND NOPHADOL
JEKJANTUK 5.1 TROWL: TRACTABLE REASONING INFRASTRUCTURE FOR OWL 2 99
5.1.1 APPLICATIONS 100
5.1.2 TECHNOLOGY 101
5.1.3 QUERY ANSWERING USING SEMANTIC APPROXIMATION * . . . . 103 5.1.4
SCALABLE REASONING USING SYNTACTIC APPROXIMATION * 107
5.1.5 LOCAL CLOSED WORLD REASONING WITH NBOX * 110
5.2 JUSTIFICATION O F REASONING RESULTS 113
5.2.1 JUSTIFICATION IN GENERAL 113
5.2.2 JUSTIFICATION ON OWL 2 EL * 116
5.2.3 JUSTIFICATION ON OWL 2 QL * 116
5.3 CONCLUSION 120
6 TRACEABILITY 121
HANNES SCHWARZ AND JIIRGEN EBERT 6.1 FIELDS O F APPLICATION 121
6.1.1 CHANGE MANAGEMENT 122
6.1.2 MAINTENANCE 122
6.1.3 PROJECT MANAGEMENT 122
6.1.4 QUALITY ASSURANCE 122
6.1.5 REQUIREMENTS MANAGEMENT 123
6.1.6 REUSE 123
6.1.7 REVERSE ENGINEERING 123
6.2 TRACEABILITY-RELATED ACTIVITIES 124
6.2.1 DEFINITION 124
6.2.2 IDENTIFICATION 125
6.2.3 RECORDING 125
6.2.4 RETRIEVAL 126
IMAGE 4
XII C O N T E N T S
6.2.5 UTILISATION 126
6.2.6 MAINTENANCE 127
6.3 AN UNIVERSAL TRACEABILITY CONCEPT 127
6.3.1 THE TRACEABILITY RELATIONSHIP TYPE TEMPLATE 128
6.3.2 TRACEABILITY RETRIEVAL PATTERNS 130
6.4 IMPLEMENTATION BASED ON ECORE * 132
6.4.1 MAPPING O F TRTT PROPERTIES 132
6.4.2 TRANSFORMATION-BASED IDENTIFICATION 135
6.4.3 TECHNOLOGIES FOR RECORDING 135
6.4.4 QUERYING CONFORMING TO THE RETRIEVAL PATTERNS 136
6.5 IMPLEMENTATION BASED ON THE TGRAPH APPROACH * 137
6.5.1 MAPPING O F TRTT PROPERTIES 138
6.5.2 TRANSFORMATION-BASED IDENTIFICATION 140
6.5.3 TECHNOLOGIES FOR RECORDING 141
6.5.4 QUERYING CONFORMING TO THE RETRIEVAL PATTERNS 141
6.6 IMPLEMENTATION BASED ON OWL ( * 143
6.6.1 MAPPING O F TRTT PROPERTIES 143
6.6.2 TECHNOLOGIES FOR RECORDING 147
6.6.3 QUERYING CONFORMING TO THE RETRIEVAL PATTERNS 147
6.7 DISCUSSIONS 149
6.8 CONCLUSION 150
7 METAMODELLING AND ONTOLOGIES * 151
GERD GRONER, NOPHADOL JEKJANTUK, TOBIAS WALTER, FERNANDO SILVA
PARREIRAS, AND JEFF Z. PAN 7.1 METAMODELLING FOR ONTOLOGIES 151
7.1.1 ONTOLOGY DEFINITION METAMODEL 152
7.1.2 NEON OWL METAMODEL 154
7.1.3 OWL 2 METAMODEL 156
7.2 ONTOLOGIES FOR METAMODELLING: OWL FA 157
7.2.1 MOTIVATING EXAMPLE 157
7.2.2 OWL FA SYNTAX AND SEMANTICS 159
7.2.3 METAMODELLING WITH OWL FA 162
7.2.4 REASONING IN OWL FA 163
7.2.5 PREPROCESSING 163
7.2.6 CONSISTENCY CHECKING 165
7.2.7 INSTANCE RETRIEVAL 165
7.2.8 JUSTIFICATION ON OWL FA 166
7.3 METAMODELLING IN ONTOLOGIES AND METAMODELLING IN M O F 167
7.3.1 OPEN AND CLOSED WORLD ASSUMPTIONS 168
7.3.2 ENSURING INTEGRITY CONSTRAINTS IN A CLOSED DOMAIN 170
7.4 CONCLUSION 174
IMAGE 5
CONTENTS XIII
PART III CONSISTENCY CHECKING IN ONTOLOGY-DRIVEN SOFTWARE
DEVELOPMENT (ODSD)
8 ONTOLOGY AND BRIDGING TECHNOLOGIES 179
UWE ABMANN, JTIRGEN EBERT, TOBIAS WALTER, AND CHRISTIAN WENDE 8.1
ONTOLOGY SERVICES 179
8.1.1 PATTERN LOR SPECIFICATION O F ONTOLOGY SERVICES 180
8.1.2 SPECIFICATION O F ONTOLOGY SERVICES 180
8.2 TRANSFORMATION BRIDGES * . 183
8.2.1 TRANSFORMATION SERVICES 183
8.2.2 EXAMPLE: OWLIZER 184
8.3 INTEGRATION BRIDGE * 185
8.3.1 INTEGRATION BRIDGE ESTABLISHMENT 186
8.3.2 INTEGRATION BRIDGE USE 188
8.3.3 EXAMPLE: M3 INTEGRATION BRIDGE 190
8.4 CONCLUSION 192
9 ONTOLOGY REASONING FOR CONSISTENCY-PRESERVING STRUCTURAL MODELLING 193
CHRISTIAN WENDE, KATJA SIEGEMUND, EDWARD THOMAS, YUTING ZHAO, JEFF Z.
PAN, FERNANDO SILVA PARREIRAS, TOBIAS WALTER, KRZYSZTOF MIKSA, PAWEL
SABINA, AND UWE ABMANN 9.1 REASONING FOR REQUIREMENT ENGINEERING 194
9.1.1 THE ODRE APPROACH 194
9.1.2 RULES FOR CONSISTENCY CHECKING 194
9.1.3 RULES FOR COMPLETENESS CHECKING 197
9.1.4 VERIFICATION O F THE REQUIREMENT SPECIFICATION BASE 198 9.1.5
RESULTS 199
9.2 REASONING FOR FEATURE MODEL ANALYSIS 199
9.2.1 ONTOLOGY-BASED FORMALISATION O F FEATURE MODELS 199 9.2.2
APPLICATION O F ONTOLOGY SERVICES FOR FEATURE ANALYSIS 201
9.2.3 RESULTS 203
9.3 REASONING FOR DOMAIN ENGINEERING 204
9.3.1 PHYSICAL DEVICES ONTOLOGY 204
9.3.2 INTEGRATING PDDSL AND OWL 2 207
9.3.3 METAMODEL INTEGRATION 207
9.3.4 REASONING WITH INTEGRATED PDDSL AND OWL 2 MODELS 211
9.3.5 RESULTS 214
9.4 REASONING FOR UML CLASS DIAGRAMS 214
9.4.1 TWOUSE 214
9.4.2 RESULTS 217
9.5 CONCLUSION 217
IMAGE 6
X I V C O N T E N T S
10 ONTOLOGY REASONING FOR PROCESS MODELS 219
YUAN REN, GERD GRONER, TIRDAD RAHMANI, JENS LEMCKE, ANDREAS FRIESEN,
SRDJAN ZIVKOVIC, YUTING ZHAO, AND JEFF Z. PAN 10.1 A RUNNING EXAMPLE 220
10.2 REASONING FOR PROCESS MODELLING AND RETRIEVAL 221
10.2.1 SEMANTIC REPRESENTATION O F PROCESS MODELS 221
10.2.2 REASONING FOR PROCESS RETRIEVAL 223
10.3 REASONING FOR PROCESS REFINEMENT IN B P M N * 224
10.3.1 DEFINING VALID PROCESS REFINEMENT 225
10.3.2 CONSTRAINTS ON REFINEMENT RELATIONS 229
10.3.3 VALIDATING PARALLEL-FREE PROCESS REFINEMENT WITH ONTOLOGY 232
10.3.4 EXTENDING SPECIFIC PROCESS WITH PARALLEL GATEWAYS 234 10.3.5
EXTENDING ABSTRACT PROCESS WITH PARALLEL GATEWAYS 235 10.3.6 VALIDATING
GROUNDING WITH ONTOLOGY 237
10.3.7 PINPOINTING AND EXPLAINING SOURCES OF INVALIDITY WITH ONTOLOGY
REASONING 240
10.3.8 EFFICIENT REFINEMENT VALIDATION WITH APPROXIMATE ONTOLOGY
REASONING 242
10.4 REASONING FOR PROCESS GUIDANCE 244
10.4.1 CONCEPTS AND KNOWLEDGE ASSETS O F A MODELLING SCENARIO 244
10.4.2 FORMALISING GUIDANCE KNOWLEDGE INTO ONTOLOGIES 246 10.4.3
RETRIEVING TASKS BY QUERY ANSWERING 248
10.4.4 GENERALISED SOLUTION FOR REPRESENTATION AND RETRIEVAL... 250
10.4.5 COMPUTATIONAL PROPERTIES 250
10.5 CONCLUSION 251
PART IV ONTOLOGY-DRIVEN SOFTWARE DEVELOPMENT (ODSD) WITH PROCESS
GUIDANCE
11 ONTOLOGY-DRIVEN METAMODELLING FOR ONTOLOGY-INTEGRATED MODELLING *
257
UWE ABMANN, JIIRGEN EBERT, TOBIAS WALTER, AND CHRISTIAN WENDE 11.1
REASONING FOR LANGUAGE ENGINEERING AND USE 257
11.1.1 DEFINING AN M3 INTEGRATION BRIDGE 258
11.1.2 USING AN M3 INTEGRATION BRIDGE 261
11.2 OWLTEXT 265
11.2.1 ODMM WITH OWLTEXT 265
11.2.2 REALISATION AND APPLICATION OF THE M 3 BRIDGES AND M2 BRIDGES IN
OWLTEXT 267
11.2.3 AN EXEMPLARY APPLICATION O F OWLTEXT 270
11.3 CONCLUSION 273
IMAGE 7
C O N T E N T S X V
12 A PLATFORM FOR ODSD: THE MOST WORKBENCH 275
SRDJAN ZIVKOVIC, CHRISTIAN WENDE, EDWARD THOMAS, FERNANDO SILVA
PARREIRAS, TOBIAS WALTER, KRZYSZTOF MIKSA, HARALD KUHN, HANNES SCHWARZ,
AND JEFF Z. PAN 12.1 TOWARDS ODSD TOOL ENVIRONMENTS 275
12.1.1 CURRENT TOOL ENVIRONMENTS 276
12.1.2 ODSD TOOL ENVIRONMENTS 278
12.1.3 DEVELOPING A FAMILY O F ODSD TOOL ENVIRONMENTS 280 12.2
CONFIGURABLE AND TRACTABLE ONTOLOGY REASONING INFRASTRUCTURE FOR ODSD
283
12.2.1 CLOSED-WORLD REASONING IN NBOX 283
12.2.2 JUSTIFICATION AND EXPLANATION 284
12.2.3 TRACTABILITY 284
12.2.4 CONFIGURABILITY 284
12.3 INTEGRATED QUERIES FOR ODSD 285
12.4 VALIDATION AND EXPLANATION IN ODSD 287
12.4.1 VALIDATION AND EXPLANATIONS FOR PROCESS REFINEMENTS .... 287
12.4.2 VALIDATION AND EXPLANATIONS FOR DOMAIN ENGINEERING- 288 12.4.3
MODEL REPAIR 289
12.5 TRACEABILITY IN ODSD 290
12.5.1 USING THE INTEGRATION INFRASTRUCTURE FOR TRACEABILITY 290 12.5.2
BENEFITING FROM TRANSFORMATIONS BETWEEN MODELLING AND ONTOLOGY LANGUAGES
291
12.6 CONCLUSION 292
13 ONTOLOGY-GUIDED SOFTWARE ENGINEERING IN THE MOST WORKBENCH 293
UWE ABMANN, SRDJAN ZIVKOVIC, KRZYSZTOF MIKSA, KATJA SIEGEMUND, ANDREAS
BARTHO, TIRDAD RAHMANI, EDWARD THOMAS, AND JEFF Z. PAN 13.1
ONTOLOGY-BASED GUIDANCE ENGINE 293
13.1.1 THE GENERIC GUIDANCE 293
13.1.2 THE GENERIC GUIDANCE ONTOLOGY 296
13.1.3 IMPLEMENTATION TECHNOLOGIES 298
13.2 GUIDANCE FOR PROCESS REFINEMENT ENGINEERING 300
13.2.1 GUIDANCE AS A SERVICE FOR REFINEMENT 301
13.2.2 GUIDANCE AS A PROCESS FOR REFINEMENT 302
13.3 GUIDANCE FOR DOMAIN ENGINEERING 305
13.3.1 CONSISTENCY GUIDANCE 305
13.3.2 PROCESS GUIDANCE 306
13.4 GUIDANCE FOR REQUIREMENTS ENGINEERING 309
13.4.1 REQUIREMENTS GUIDANCE ONTOLOGY 310
13.4.2 GUIDANCE FOR REQUIREMENT ENGINEERING 312
13.5 GUIDANCE FOR DOCUMENTATION ENGINEERING 314
13.6 CONCLUSION 318
IMAGE 8
XVI C O N T E N T S
14 CONCLUSION AND OUTLOOKS 319
JEFF Z. PAN, STEFFEN STAAB, UWE ABMANN, JTIRGEN EBERT, YUTING ZHAO, AND
DANIEL OBERLE 14.1 KEY QUESTIONS FOR ONTOLOGY-DRIVEN SOFTWARE
DEVELOPMENT (ODSD) 320
14.2 WHERE TO GO FROM HERE? 320
14.2.1 THINGS TO KEEP IN MIND WHEN ADOPTING ODSD 321
14.2.2 CONTRIBUTING TO THE LINKED SOFTWARE DATA 321
14.2.3 FURTHER VISIONS IN SOFTWARE ENGINEERING 322
REFERENCES 323
INDEX 335
|
| any_adam_object | 1 |
| author | Pan, Jeff Z. |
| author_facet | Pan, Jeff Z. |
| author_role | aut |
| author_sort | Pan, Jeff Z. |
| author_variant | j z p jz jzp |
| building | Verbundindex |
| bvnumber | BV040433280 |
| classification_rvk | ST 230 |
| ctrlnum | (OCoLC)815928108 (DE-599)DNB1024099326 |
| dewey-full | 005.1 006.332 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security 006 - Special computer methods |
| dewey-raw | 005.1 006.332 |
| dewey-search | 005.1 006.332 |
| dewey-sort | 15.1 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
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| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV040433280 |
| illustrated | Illustrated |
| indexdate | 2024-12-24T02:50:12Z |
| institution | BVB |
| isbn | 9783642312250 364231225X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025285791 |
| oclc_num | 815928108 |
| open_access_boolean | |
| owner | DE-20 |
| owner_facet | DE-20 |
| physical | XVIII, 337 S. graph. Darst. |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Springer |
| record_format | marc |
| spellingShingle | Pan, Jeff Z. Ontology-Driven Software Development Künstliche Intelligenz (DE-588)4033447-8 gnd Softwareentwicklung (DE-588)4116522-6 gnd Software Engineering (DE-588)4116521-4 gnd Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4116522-6 (DE-588)4116521-4 (DE-588)4827894-4 (DE-588)4143413-4 |
| title | Ontology-Driven Software Development |
| title_auth | Ontology-Driven Software Development |
| title_exact_search | Ontology-Driven Software Development |
| title_full | Ontology-Driven Software Development Jeff Z. Pan ... (Hrsg.) |
| title_fullStr | Ontology-Driven Software Development Jeff Z. Pan ... (Hrsg.) |
| title_full_unstemmed | Ontology-Driven Software Development Jeff Z. Pan ... (Hrsg.) |
| title_short | Ontology-Driven Software Development |
| title_sort | ontology driven software development |
| topic | Künstliche Intelligenz (DE-588)4033447-8 gnd Softwareentwicklung (DE-588)4116522-6 gnd Software Engineering (DE-588)4116521-4 gnd Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd |
| topic_facet | Künstliche Intelligenz Softwareentwicklung Software Engineering Ontologie Wissensverarbeitung Aufsatzsammlung |
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| work_keys_str_mv | AT panjeffz ontologydrivensoftwaredevelopment |