Semantic Grid: Model, Methodology, and Applications (Advanced Topics in Science and Technology in China)

✍ Scribed by Zhao-hui Wu, Hua-jun Chen

• Year: 2008
• Tongue: English
• Leaves: 244
• Edition: 1
• Category: Library

✦ Synopsis

Semantic Grid: Model, Methodology, and Applications introduces to the science, core technologies, and killer applications. First, scientific issues of semantic grid systems are covered, followed by two basic technical issues, data-level semantic mapping, and service-level semantic interoperating. Two killer applications are then introduced to show how to build a semantic grid for specific application domains. Although this book is organized in a step by step manner, each chapter is independent. Detailed application scenarios are also presented. In 1990, Prof. Wu invented the first KB-system tool, ZIPE, based on C on a SUN platform. He proposed the first coupling knowledge representing model, Couplingua, which embodies Rule, Frame, Semantic Network and Nerve Cell Network, and supports symbol computing and data processing computing. His current focus is on semantic web, grid & ubiquitous computing, and their applications in the life sciences.

✦ Table of Contents

3540794530......Page 1
Contents......Page 10
1.1.1 Grid Computing......Page 15
1.1.2 Semantic Web......Page 18
1.2.1 Basic Concepts......Page 21
1.2.2 Brief History......Page 22
1.3.2 Semantic Data Integration......Page 23
1.3.5 Trust and Security......Page 24
1.4.2 CombeChem......Page 25
1.4.5 Semantic Grid Research and Development in China......Page 26
1.5 Summary and Conclusion......Page 27
References......Page 28
2.1 Introduction......Page 29
2.2.1 Mathematical Logic......Page 31
2.2.2 Semantic Network......Page 32
2.2.3 Frames......Page 34
2.2.4 Ontology......Page 35
2.3 Description Logic......Page 37
2.4 Knowledge Representation Framework for the Semantic Grid......Page 40
2.4.1 XML and XML Schema......Page 41
2.4.2 RDF and RDF Schema......Page 42
2.4.3 Web Ontology Language......Page 43
2.5.1 Ontology Design and Development for UTCMLS......Page 46
2.5.2 TCM Ontology......Page 51
2.6 Summary and Conclusion......Page 59
References......Page 60
3.1.1 Problem Solving......Page 62
3.1.2 Cooperative Distributed Problem Solving......Page 63
3.1.3 Multi-Agent System......Page 64
3.2.1 Grid and Problem Solving......Page 65
3.2.2 Problem Solving in the Semantic Grid......Page 67
3.3 Ontology Management for Grid-based Problem Solving......Page 68
3.3.1 Grid-based Ontology Management......Page 69
3.3.2 Ontology Grid Node......Page 70
3.3.3 Semantic View......Page 73
3.4.1 Dynamic Memory Model......Page 75
3.4.2 Case-based Ontology Repository......Page 77
3.5 Dynamic Problem Solving Based on SubO Evolution......Page 80
3.5.1 Sub-Ontology Manipulations......Page 81
3.5.3 Problem-Solving Environment......Page 83
3.5.4 Sub-Ontology Based Problem Solving......Page 85
3.6 The Relationship between Problem Solving and the Semantic Grid......Page 87
3.7 Related Works......Page 89
References......Page 90
4.1 Introduction......Page 93
4.2 Trust for the Semantic Grid......Page 94
4.2.1 Characteristic Features of Trust......Page 95
4.2.2 Cost and Utility......Page 96
4.2.4 Semantics of Information......Page 97
4.3 Closed Trust Model......Page 100
4.4 Open Trust Model......Page 105
4.5 Experiments......Page 107
4.6 Related Work......Page 112
4.7 Summary and Conclusion......Page 115
References......Page 116
5.1 Introduction......Page 117
5.1.1 Related Work......Page 118
5.1.2 Preliminaries......Page 120
5.2.1 The Mapping Issue......Page 122
5.2.3 Constraint Mapping......Page 124
5.3.1 Answering Queries Using SHIQ-RDM Views......Page 126
5.3.2 Rewriting SPARQL Queries Using SHIQ-RDM Views......Page 130
5.4 Summary and Conclusion......Page 136
References......Page 137
6.1 Introduction......Page 140
6.2 Research Framework of Service Flow Management......Page 141
6.2.1 Service Matchmaking and Discovery......Page 142
6.2.2 Service Composition......Page 143
6.2.3 Service Composition Verification......Page 144
6.3.1 An Extended Service Model......Page 145
6.3.2 Service Matchmaking......Page 148
6.3.3 Performance Evaluation......Page 153
6.4 Service Composition in DartFlow......Page 155
6.4.1 Service Composition Framework......Page 156
6.4.2 Rules Types and Definitions......Page 158
6.4.3 Automatic Service Composition Based on Rules......Page 161
6.5.1 Overview of π-Calculus......Page 162
6.5.2 Modeling Service Behavior Using π-Calculus......Page 164
6.5.3 Verification of Service Compatibility......Page 166
References......Page 169
7.1 Introduction......Page 171
7.2.1 Single-computer-based Architecture......Page 173
7.2.2 Parallelized Architecture......Page 174
7.2.4 Grid-based Architecture......Page 175
7.3.1 Virtual Organizations of Knowledge Discovery in the Semantic Grid......Page 179
7.3.2 Architecture and Components of Knowledge Discovery in the Semantic Grid......Page 181
7.3.3 Characteristics of Knowledge Discovery in the Semantic Grid......Page 183
7.4 Drug Community Discovery Utilizing TCM Semantic Grid......Page 185
7.4.1 Semantic Graph Mining Methodology......Page 186
7.4.2 Use Case: TCM Formulae Interpretation and Herb-Drug Interaction Analysis......Page 188
References......Page 190
8.1 Introduction......Page 193
8.2.1 Overview......Page 194
8.2.2 System Features......Page 195
8.2.3 System Architecture......Page 196
8.2.4 Mapping from Relational Data to Semantic Web Ontology......Page 197
8.2.5 Semantic Browser and Query Tool......Page 198
8.2.6 Semantic Search Engine......Page 199
8.3.2 System Architecture......Page 202
8.3.3 Main Functions......Page 204
8.4 Summary and Conclusion......Page 208
9.1 Background, Status, and Problems of TCM Informatics......Page 209
9.1.2 Status of TCM Informatics......Page 210
9.1.3 Problems of TCM Informatics......Page 211
9.2.1 Overview......Page 213
9.2.3 Application Platforms in TCM e-Science Environment......Page 214
9.3 Collaborative TCM Ontology Engineering......Page 216
9.4 Creating a Semantic Grid of TCM Databases......Page 218
9.5 A Semantic Grid Environment for Database Construction......Page 220
9.6 TCM Knowledge Discovery Platform......Page 221
References......Page 223
10.1 Introduction......Page 224
10.1.1 ITS System and Grid Computing......Page 225
10.1.2 ITS System and Ontology......Page 227
10.2 Layered Architecture for ITS-Grid......Page 228
10.3.1 The Development of an ITS Ontology......Page 229
10.3.2 ITS-Grid Applications......Page 231
10.4 Case Study......Page 236
10.5 Summary and Conclusion......Page 238
References......Page 239
D......Page 241
M......Page 242
S......Page 243
X......Page 244