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title page
Abstract
Contents
Chapter 1. Introduction 15
1.1. Research Background 16
1.2. Research Motivations 17
1.3. Objectives and Scope of the Research 21
1.4. Organization of the Dissertation 26
Chapter 2. Literature Review 27
2.1. Tacit Knowledge Management in KMS 28
2.2. Automatic Text Categorization 31
2.3. Fuzzy Abstraction Hierarchy 33
2.4. Trust Measurement for Online Transactions 37
Chapter 3. Expert Identification through Expert Profiles 40
3.1. Structure of Expert Profiles 41
3.2. Training of Automatic Knowledge Classifier 48
3.2.1. Preparing Training Documents 51
3.2.2. Building a Subject Field Vector for Each Subject Field 54
3.2.3. Calculating the Initial Similarity Measures among subject Field 59
Chapter 4. Automatic Expert Identification 63
4.1. Building Expert Profiles 64
4.2. Similarity Measure Calculation for Knowledge Artifacts 68
Chapter 5. Intelligent Expert Searches 72
5.1. Applicability of Fuzzy Abstraction Hierarchy 73
5.2. Similarity Calculation among Subject Fields 75
5.3. Process of Expert Searches 83
5.4. Application of Proposed Framework in Knowledge Portal 94
Chapter 6. Trust Measurement for CoP 100
6.1. Trust Measurement and Trust Variables 101
6.1.1. Trust Measurement for CoP 102
6.1.2. Trust Variables for CoP 106
6.2. Design of CoP Trust Measuring System 110
6.2.1. Trust Measuring System Architecture 111
6.2.2. Fuzzification Interface 114
6.2.3. Inference Logic 116
6.2.4. Defuzzification Interface 120
Chapter 7. Conclusions 122
7.1. Contributions of the Research 123
7.2. Limitations and Future Research Directions 125
7.3. Summary 127
Summary In Korean 130
References 134
감사의 글 142
Curriculum Vitae 144
TABLE 1. Frequencies of Each Term in Aggregate Documents 56
TABLE 2. Vector Space 58
TABLE 3. Similarity Measure Calculation 71
TABLE 4. Similarity Calculation for Intelligent Expert Search 90
TABLE 5. Average Distance among Members 109
FIGURE 1. Automatic Text Categorization Process 33
FIGURE 2. Example of Fuzzy Abstraction Hierarchy 35
FIGURE 3. Automatic Expert Identification 50
FIGURE 4. Vector Space Formulation 53
FIGURE 5. Field Vector Calculation 57
FIGURE 6. Initial Similarity Measure Calculation 59
FIGURE 7. Expert Profiling Process 67
FIGURE 8. Classification of Knowledge Artifact 70
FIGURE 9. Conceptual Relationship among Fields in FAH 76
FIGURE 10. Similarity Measure Calculation Using Max-Min Operation 79
FIGURE 11. Activity Diagram for Expert Search 86
FIGURE 12. Example Process of FAH-based Expert Search 93
FIGURE 13. Sample Screenshot for Expert Search in Knowledge Portal 95
FIGURE 14. Automatic Team Assignment Infrastructure 98
FIGURE 15. CoP in KM 103
FIGURE 16.Degrees of Relationship among Members 105
FIGURE 17. KMS with Trust Measuring Fuzzy System 111
FIGURE 18. Fuzzy Trust Surface 114
FIGURE 19. Fuzzy Membership Function 115
FIGURE 20. Degree of Fulfillment Matrix and Matrix Composition 118
FIGURE 21. Matrix Composition Graph 119
FIGURE 22. Fuzzification Interface 119
FIGURE 23. Composition of Fuzzy Values Using Center of Area Method 121
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