Semantic Annotation for Process Models: - Department of Computer ...

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210 APPENDIX G. SCHEMA OF PSAM AND SWRL RULES 1 1 1 1 1 1 1
G.1. PSAM IN OWL 211
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Yun Lin Semantic Annotation for Pro
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To MY BELOVED HUSBAND HAO DING AND
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ii The proposed approach has been i
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iv CONTENTS 3 State of the Art 31 3
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vi CONTENTS 7.5.2 Semantic reasonin
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viii CONTENTS H PSAM Annotation Res
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x LIST OF FIGURES 6.1 System module
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xii LIST OF FIGURES
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xiv LIST OF TABLES
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xvi PREFACE My tremendous gratitude
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Chapter 1 Introduction Business pro
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1.2. PROBLEM STATEMENT AND RESEARCH
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1.4. APPROACH AND SCOPE 7 1.4.1 Sem
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1.6. MAJOR CONTRIBUTIONS 9 1.6 Majo
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Chapter 2 Problem Setting In this c
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Figure 2.1: Zachman Enterprise Arch
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2.2. MODELING BASIS 15 meta-model o
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2.3. INFORMATION SYSTEMS AND SEMANT
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2.4. SEMANTIC INTEROPERABILITY 23 3
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2.5. BUSINESS PROCESS MODEL 25 2.5
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2.6. PROCESS KNOWLEDGE MANAGEMENT 2
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2.7. SUMMARY 29 • Creation or imp
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Chapter 3 State of the Art This cha
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3.1. PROCESS MODELING LANGUAGES 33
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3.1. PROCESS MODELING LANGUAGES 35
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Table 3.1: Modeling constructs of d
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3.2. SEMANTIC INTEROPERABILITY AND
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Representation primitives Process P
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3.3. GOAL MODELING 49 From the surv
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3.4. SEMANTIC ANNOTATION METHODS AN
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3.6. SUMMARY 59 In the goal modelin
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Part II Design and Application 61
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64 CHAPTER 4. SEMANTIC ANNOTATION F
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84 CHAPTER 5. GOAL ANNOTATION proce
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86 CHAPTER 5. GOAL ANNOTATION in a
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88 CHAPTER 5. GOAL ANNOTATION • i
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90 CHAPTER 5. GOAL ANNOTATION 5.5 G
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92 CHAPTER 5. GOAL ANNOTATION
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94 CHAPTER 6. PRO-SEAT (PROCESS SEM
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100 CHAPTER 6. PRO-SEAT (PROCESS SE
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102 CHAPTER 6. PRO-SEAT (PROCESS SE
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104 CHAPTER 7. EXEMPLAR STUDIES AND
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Chapter 8 Quality Evaluation of the
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8.2. SETTING FOR THE QUALITY EVALUA
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8.2. SETTING FOR THE QUALITY EVALUA
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8.3. QUALITY ANALYSIS 135 to those
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8.3. QUALITY ANALYSIS 137 annotatio
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8.3. QUALITY ANALYSIS 139 • G1 -
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8.5. SUMMARY 141 3. Semantic annota
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Chapter 9 Validation of Applicabili
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9.1. VALIDATION DESIGN 145 - RE3.3
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9.2. SWRL FORMULATION 147 Table 9.1
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9.2. SWRL FORMULATION 149 RE3.2 RE3
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9.3. APPLICABILITY VALIDATION IN AN
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Page 179 and 180: 9.4. DISCUSSION ON RESULTS OF THE V
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Page 183: Part IV Synopsis 163
Page 186 and 187: 166 CHAPTER 10. CONCLUSIONS AND FUT
Page 193 and 194: Appendix A BPMN This chapter presen
Page 195 and 196: A.3. CONNECTING OBJECTS 175 Figure
Page 197 and 198: A.6. BPMN META-MODEL TREE IN METIS
Page 199 and 200: Appendix B EEML 2005 The language v
Page 201 and 202: B.2. RECOURSES MODELING DOMAIN 181
Page 203 and 204: Appendix C SCOR SCOR — Supply Cha
Page 205 and 206: C.2. LEVEL 2 TOOLKIT 185 Level 1 Me
Page 207 and 208: C.3. LEVEL 3 PROCESS ELEMENTS 187 F
Page 209 and 210: Appendix D Algorithm for Semi-Autom
Page 211 and 212: 191 Algorithm 1 Goal Annotation Alg
Page 213 and 214: Algorithm 4 Goal Annotation Algorit
Page 215 and 216: 195 Algorithm 6 Goal Annotation Alg
Page 217 and 218: Appendix E GUI of Pro-SEAT The prop
Page 219 and 220: 199 Figure E.3: Mapping meta-model
Page 221 and 222: 201 Figure E.5: Goal annotation UI
Page 223 and 224: Appendix F Analysis of the Annotati
Page 225 and 226: F.2. INTEGRATION APPLICATION BASED
Page 227 and 228: F.2. INTEGRATION APPLICATION BASED
Page 229: Appendix G Schema of PSAM and SWRL
Page 233 and 234: G.2. RULE DEFINITIONS IN SWRL 213
Page 235 and 236: G.2. RULE DEFINITIONS IN SWRL 215
Page 237 and 238: Appendix H Annotation Results in Ex
Page 239 and 240: H.2. ANNOTATION OF PM B1 219 xmlns:
Page 241 and 242: H.3. ANNOTATION OF PM B2 221 Av
Page 243 and 244: Bibliography [1] ALTOVA. What is th
Page 245 and 246: BIBLIOGRAPHY 225 [26] Dov Dori. Why
Page 247 and 248: BIBLIOGRAPHY 227 [52] Ian Horrocks.
Page 249 and 250: BIBLIOGRAPHY 229 [78] John Krogstie
Page 251 and 252: BIBLIOGRAPHY 231 [102] Diana Maynar
Page 253 and 254: BIBLIOGRAPHY 233 [129] OASIS Cover
Page 255 and 256: BIBLIOGRAPHY 235 [157] Colette Roll
Page 257 and 258: BIBLIOGRAPHY 237 [185] Systems Thin
Page 259: BIBLIOGRAPHY 239 [214] John.A. Zach
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