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

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30 CHAPTER 2. PROBLEM SETTING • Process knowledge is embedded in process models whose semantics might be represented heterogeneously. • Semantic annotation can be applied in capturing and representing process knowledge to facilitate process knowledge management such as the retrieval and reuse of heterogeneous process models. After having established the key areas of our research in this chapter, we will continue to detail survey of state of the art in the these areas, namely, process modeling languages, process ontologies, goal modeling and annotation approaches.
Chapter 3 State of the Art This chapter investigates a number of existing process modeling languages and process ontologies which are often used in industrial business and academic research projects. Such investigation is intended to seize the most essential concepts and relationships describing the semantics of process, which construct the basis of the process ontology. The process ontology is used as the intermediary for the semantic annotation to build the semantic mapping between different process representations. Semantic annotation approaches and tools for different types of information are surveyed to identify requirements of semantic annotation methods and tools. 3.1 Process Modeling Languages Business Process Modeling (BPM) plays a vital role in the lifecycle of enterprise systems development. BPM is sometimes known as Business Process Management. Over the years, the scope of business processes and BPM has broadened. It ranges from process definition, workflow management system, and integration techniques. For the specification aspect, process definition is conducted by modeling activities with certain process modeling language. For the execution aspect, workflow management system is necessary for the automation and control of process execution based on process models. For the system aspect, BPM today is an enterprise integration technology complementing Service-Oriented Architecture (SOA) and other integration APIs. In the history of business process modeling, numbers of process modeling languages were created, evolved and new proposals continue to emerge. Some of them cease to be used because of the evolution of the modeling methodologies, but many of them are still lively applied. Those process modeling languages exist contemporaneously due to their special expressive powers to emphasize different aspects for various applicational purposes. Process modeling languages might be informal, semi-formal or formal. Informal modeling language is just natural language, which is seldom used in modeling discipline. Most visual modeling languages are semi-formal modeling languages, in which there are a set of notations with semantic definitions by meta-models. Formal modeling languages are those whose semantics are rigidly defined by logic or mathematics. A semi-formal modeling language is generally easier to understand than a formal language, while the latter can enable the computation of model semantics. 31
Page 1 and 2: Yun Lin Semantic Annotation for Pro
Page 3: To MY BELOVED HUSBAND HAO DING AND
Page 6 and 7: ii The proposed approach has been i
Page 8 and 9: iv CONTENTS 3 State of the Art 31 3
Page 10 and 11: vi CONTENTS 7.5.2 Semantic reasonin
Page 12 and 13: viii CONTENTS H PSAM Annotation Res
Page 14 and 15: x LIST OF FIGURES 6.1 System module
Page 16 and 17: xii LIST OF FIGURES
Page 18 and 19: xiv LIST OF TABLES
Page 20 and 21: xvi PREFACE My tremendous gratitude
Page 23 and 24: Chapter 1 Introduction Business pro
Page 25 and 26: 1.2. PROBLEM STATEMENT AND RESEARCH
Page 27 and 28: 1.4. APPROACH AND SCOPE 7 1.4.1 Sem
Page 29 and 30: 1.6. MAJOR CONTRIBUTIONS 9 1.6 Majo
Page 31 and 32: Chapter 2 Problem Setting In this c
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Page 35 and 36: 2.2. MODELING BASIS 15 meta-model o
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80 CHAPTER 4. SEMANTIC ANNOTATION F
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82 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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9.4. DISCUSSION ON RESULTS OF THE V
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9.4. DISCUSSION ON RESULTS OF THE V
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Part IV Synopsis 163
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166 CHAPTER 10. CONCLUSIONS AND FUT
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Appendix A BPMN This chapter presen
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A.3. CONNECTING OBJECTS 175 Figure
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A.6. BPMN META-MODEL TREE IN METIS
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Appendix B EEML 2005 The language v
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B.2. RECOURSES MODELING DOMAIN 181
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Appendix C SCOR SCOR — Supply Cha
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C.2. LEVEL 2 TOOLKIT 185 Level 1 Me
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C.3. LEVEL 3 PROCESS ELEMENTS 187 F
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Appendix D Algorithm for Semi-Autom
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191 Algorithm 1 Goal Annotation Alg
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Algorithm 4 Goal Annotation Algorit
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195 Algorithm 6 Goal Annotation Alg
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Appendix E GUI of Pro-SEAT The prop
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199 Figure E.3: Mapping meta-model
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201 Figure E.5: Goal annotation UI
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Appendix F Analysis of the Annotati
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F.2. INTEGRATION APPLICATION BASED
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F.2. INTEGRATION APPLICATION BASED
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Appendix G Schema of PSAM and SWRL
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G.1. PSAM IN OWL 211
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G.2. RULE DEFINITIONS IN SWRL 213
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G.2. RULE DEFINITIONS IN SWRL 215
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Appendix H Annotation Results in Ex
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H.2. ANNOTATION OF PM B1 219 xmlns:
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H.3. ANNOTATION OF PM B2 221 Av
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Bibliography [1] ALTOVA. What is th
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BIBLIOGRAPHY 225 [26] Dov Dori. Why
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BIBLIOGRAPHY 237 [185] Systems Thin
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BIBLIOGRAPHY 239 [214] John.A. Zach
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