Semantic Grid: Model, Methodology, and Applications

by Wu, Zhaohui; Chen, Huajun

• ISBN13: 9783540794530
• ISBN10: 3540794530
• Format: Hardcover
• Copyright: 2008-11-30
• Publisher: Springer-Verlag New York Inc

Summary

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.

Author Biography

Prof. Wu's major research areas include distributed artificial intelligence, knowledge-based system, grid computing, semantic web, and ubiquitous computing. He invented the first KB-system tool, ZIPE, based on the C programming language on a SUN platform in China, 1990. He proposed the first coupling knowledge representing model, Couplingua, which embodies Rule, Frame, Semantic Network and Nerve Cell Network and supports symbol computing and traditional data processing computing. During the past few years, his work is mainly focused on semantic web, grid computing, ubiquitous computing and their applications in the life sciences (especially for Traditional Chinese Medicine) and ITS (Intelligent Transportation System). He is the leader of the project DartGrid, a semantic grid toolkit for data integration, which has been used to help build the largest TCM data grid in the world. In year 2005, he was awarded as one of the Outstanding Young Scientists by China National Science Foundation.

Table of Contents

Introduction	p. 1
Background	p. 1
Grid Computing	p. 1
Semantic Web	p. 4
Semantic Grid	p. 7
Basic Concepts	p. 7
Brief History	p. 8
Basic Issues	p. 9
Knowledge Representation for the Semantic Grid	p. 9
Semantic Data Integration	p. 9
Semantic Service Composition and Process Coordination	p. 10
Semantic Mining and Knowledge Discovery in the Semantic Grid	p. 10
Trust and Security	p. 10
Case Studies	p. 11
myGrid	p. 11
CombeChem	p. 11
CoAKTinG	p. 12
K-WF Grid	p. 12
Semantic Grid Research and Development in China	p. 12
Summary and Conclusion	p. 13
References	p. 14
Knowledge Representation for the Semantic Grid	p. 15
Introduction	p. 15
Knowledge Representation	p. 17
Mathematical Logic	p. 17
Semantic Network	p. 18
Frames	p. 20
Ontology	p. 21
Description Logic	p. 23
Knowledge Representation Framework for the Semantic Grid	p. 26
XML and XML Schema	p. 27
RDF and RDF Schema	p. 28
Web Ontology Language	p. 29
Ontology Development and Application for TCM	p. 32
Ontology Design and Development for UTCMLS	p. 32
TCM Ontology	p. 37
Summary and Conclusion	p. 45
References	p. 46
Dynamic Problem Solving in the Semantic Grid	p. 48
Introduction	p. 48
Problem Solving	p. 48
Cooperative Distributed Problem Solving	p. 49
Multi-Agent System	p. 50
Grid-based Problem Solving	p. 51
Grid and Problem Solving	p. 51
Problem Solving in the Semantic Grid	p. 53
Ontology Management for Grid-based Problem Solving	p. 54
Grid-based Ontology Management	p. 55
Ontology Grid Node	p. 56
Semantic View	p. 59
Ontology Reuse for Grid-based Problem Solving	p. 61
Dynamic Memory Model	p. 61
Case-based Ontology Repository	p. 63
Dynamic Problem Solving Based on SubO Evolution	p. 66
Sub-Ontology Manipulations	p. 67
Terminology	p. 69
Problem-Solving Environment	p. 69
Sub-Ontology Based Problem Solving	p. 71
The Relationship between Problem Solving and the Semantic Grid	p. 73
Related Works	p. 75
Summary and Conclusion	p. 76
References	p. 76
Trust Computing in the Semantic Grid	p. 79
Introduction	p. 79
Trust for the Semantic Grid	p. 80
Characteristic Features of Trust	p. 81
Cost and Utility	p. 82
Distributed vs. Centralized	p. 83
Semantics of Information	p. 83
Closed Trust Model	p. 86
Open Trust Model	p. 91
Experiments	p. 93
Related Work	p. 98
Summary and Conclusion	p. 101
References	p. 102
Data Integration in the Semantic Grid	p. 103
Introduction	p. 103
Related Work	p. 104
Preliminaries	p. 106
Semantic Mapping in the Semantic Grid	p. 108
The Mapping Issue	p. 108
Basic Mapping System	p. 110
Constraint Mapping	p. 110
Semantic Query Processing in the Semantic Grid	p. 112
Answering Queries Using SHIQ-RDM Views	p. 112
Rewriting SPARQL Queries Using SHIQ-RDM Views	p. 116
Summary and Conclusion	p. 122
References	p. 123
Service Flow Management in the Semantic Grid	p. 126
Introduction	p. 126
Research Framework of Service Flow Management	p. 127
Service Matchmaking and Discovery	p. 128
Service Composition	p. 129
Service Composition Verification	p. 130
Service Matchmaking in DartFlow	p. 131
An Extended Service Model	p. 131
Service Matchmaking	p. 134
Performance Evaluation	p. 139
Service Composition in DartFlow	p. 141
Service Composition Framework	p. 142
Rules Types and Definitions	p. 144
Automatic Service Composition Based on Rules	p. 147
Service Flow Verification in DartFlow	p. 148
Overview of [pi]-Calculus	p. 148
Modeling Service Behavior Using [pi]-Calculus	p. 150
Verification of Service Compatibility	p. 152
Summary and Conclusion	p. 155
References	p. 155
Data Mining and Knowledge Discovery in the Semantic Grid	p. 157
Introduction	p. 157
Development of KDD System Architecture	p. 159
Single-computer-based Architecture	p. 159
Parallelized Architecture	p. 160
Distributed Architecture	p. 161
Grid-based Architecture	p. 161
A Summary of the Development of KDD System Architecture	p. 165
Knowledge Discovery Based on the Semantic Grid	p. 165
Virtual Organizations of Knowledge Discovery in the Semantic Grid	p. 165
Architecture and Components of Knowledge Discovery in the Semantic Grid	p. 167
Characteristics of Knowledge Discovery in the Semantic Grid	p. 169
Drug Community Discovery Utilizing TCM Semantic Grid	p. 171
Semantic Graph Mining Methodology	p. 172
Use Case: TCM Formulae Interpretation and Herb-Drug Interaction Analysis	p. 174
Summary and Conclusion	p. 176
References	p. 176
DartGrid: A Semantic Grid Implementation	p. 179
Introduction	p. 179
DartDB-A Semantic Data Integration Toolkit	p. 180
Overview	p. 180
System Features	p. 181
System Architecture	p. 182
Mapping from Relational Data to Semantic Web Ontology	p. 183
Semantic Browser and Query Tool	p. 184
Semantic Search Engine	p. 185
DartFlow-A Service Flow Management Prototype	p. 188
Overview	p. 188
System Architecture	p. 188
Main Functions	p. 190
Summary and Conclusion	p. 194
Semantic Grid Applications for Traditional Chinese Medicine	p. 195
Background, Status, and Problems of TCM Informatics	p. 195
Background of TCM Informatics	p. 196
Status of TCM Informatics	p. 196
Problems of TCM Informatics	p. 197
The Architecture of TCM e-Science Semantic Grid	p. 199
Overview	p. 199
Three Layers of TCM e-Science Environment	p. 200
Application Platforms in TCM e-Science Environment	p. 200
Collaborative TCM Ontology Engineering	p. 202
Creating a Semantic Grid of TCM Databases	p. 204
A Semantic Grid Environment for Database Construction	p. 206
TCM Knowledge Discovery Platform	p. 207
Summary	p. 209
References	p. 209
Semantic Grid Applications in Intelligent Transportation Systems	p. 210
Introduction	p. 210
ITS System and Grid Computing	p. 211
ITS System and Ontology	p. 213
Layered Architecture for ITS-Grid	p. 214
ITS Semantic Grid	p. 215
The Development of an ITS Ontology	p. 215
ITS-Grid Applications	p. 217
Case Study	p. 222
Summary and Conclusion	p. 224
References	p. 225
Index	p. 227
Table of Contents provided by Ingram. All Rights Reserved.