| Introduction / 1： |
| Background / 1.1： |
| Grid Computing / 1.1.1： |
| Semantic Web / 1.1.2： |
| Semantic Grid / 1.2： |
| Basic Concepts / 1.2.1： |
| Brief History / 1.2.2： |
| Basic Issues / 1.3： |
| Knowledge Representation for the Semantic Grid / 1.3.1： |
| Semantic Data Integration / 1.3.2： |
| Semantic Service Composition and Process Coordination / 1.3.3： |
| Semantic Mining and Knowledge Discovery in the Semantic Grid / 1.3.4： |
| Trust and Security / 1.3.5： |
| Case Studies / 1.4： |
| myGrid / 1.4.1： |
| CombeChem / 1.4.2： |
| CoAKTinG / 1.4.3： |
| K-WF Grid / 1.4.4： |
| Semantic Grid Research and Development in China / 1.4.5： |
| Summary and Conclusion / 1.5： |
| References |
| Knowledge Representation / 2： |
| Mathematical Logic / 2.2.1： |
| Semantic Network / 2.2.2： |
| Frames / 2.2.3： |
| Ontology / 2.2.4： |
| Description Logic / 2.3： |
| Knowledge Representation Framework for the Semantic Grid / 2.4： |
| XML and XML Schema / 2.4.1： |
| RDF and RDF Schema / 2.4.2： |
| Web Ontology Language / 2.4.3： |
| Ontology Development and Application for TCM / 2.5： |
| Ontology Design and Development for UTCMLS / 2.5.1： |
| TCM Ontology / 2.5.2： |
| Dynamic Problem Solving in the Semantic Grid / 2.6： |
| Problem Solving / 3.1： |
| Cooperative Distributed Problem Solving / 3.1.2： |
| Multi-Agent System / 3.1.3： |
| Grid-based Problem Solving / 3.2： |
| Grid and Problem Solving / 3.2.1： |
| Problem Solving in the Semantic Grid / 3.2.2： |
| Ontology Management for Grid-based Problem Solving / 3.3： |
| Grid-based Ontology Management / 3.3.1： |
| Ontology Grid Node / 3.3.2： |
| Semantic View / 3.3.3： |
| Ontology Reuse for Grid-based Problem Solving / 3.4： |
| Dynamic Memory Model / 3.4.1： |
| Case-based Ontology Repository / 3.4.2： |
| Dynamic Problem Solving Based on SubO Evolution / 3.5： |
| Sub-Ontology Manipulations / 3.5.1： |
| Terminology / 3.5.2： |
| Problem-Solving Environment / 3.5.3： |
| Sub-Ontology Based Problem Solving / 3.5.4： |
| The Relationship between Problem Solving and the Semantic Grid / 3.6： |
| Related Works / 3.7： |
| Trust Computing in the Semantic Grid / 3.8： |
| Trust for the Semantic Grid / 4.1： |
| Characteristic Features of Trust / 4.2.1： |
| Cost and Utility / 4.2.2： |
| Distributed vs. Centralized / 4.2.3： |
| Semantics of Information / 4.2.4： |
| Closed Trust Model / 4.3： |
| Open Trust Model / 4.4： |
| Experiments / 4.5： |
| Related Work / 4.6： |
| Data Integration in the Semantic Grid / 4.7： |
| Preliminaries / 5.1： |
| Semantic Mapping in the Semantic Grid / 5.2： |
| The Mapping Issue / 5.2.1： |
| Basic Mapping System / 5.2.2： |
| Constraint Mapping / 5.2.3： |
| Semantic Query Processing in the Semantic Grid / 5.3： |
| Answering Queries Using SHIQ-RDM Views / 5.3.1： |
| Rewriting SPARQL Queries Using SHIQ-RDM Views / 5.3.2： |
| Service Flow Management in the Semantic Grid / 5.4： |
| Research Framework of Service Flow Management / 6.1： |
| Service Matchmaking and Discovery / 6.2.1： |
| Service Composition / 6.2.2： |
| Service Composition Verification / 6.2.3： |
| Service Matchmaking in DartFlow / 6.3： |
| An Extended Service Model / 6.3.1： |
| Service Matchmaking / 6.3.2： |
| Performance Evaluation / 6.3.3： |
| Service Composition in DartFlow / 6.4： |
| Service Composition Framework / 6.4.1： |
| Rules Types and Definitions / 6.4.2： |
| Automatic Service Composition Based on Rules / 6.4.3： |
| Service Flow Verification in DartFlow / 6.5： |
| Overview of [pi]-Calculus / 6.5.1： |
| Modeling Service Behavior Using [pi]-Calculus / 6.5.2： |
| Verification of Service Compatibility / 6.5.3： |
| Data Mining and Knowledge Discovery in the Semantic Grid / 6.6： |
| Development of KDD System Architecture / 7.1： |
| Single-computer-based Architecture / 7.2.1： |
| Parallelized Architecture / 7.2.2： |
| Distributed Architecture / 7.2.3： |
| Grid-based Architecture / 7.2.4： |
| A Summary of the Development of KDD System Architecture / 7.2.5： |
| Knowledge Discovery Based on the Semantic Grid / 7.3： |
| Virtual Organizations of Knowledge Discovery in the Semantic Grid / 7.3.1： |
| Architecture and Components of Knowledge Discovery in the Semantic Grid / 7.3.2： |
| Characteristics of Knowledge Discovery in the Semantic Grid / 7.3.3： |
| Drug Community Discovery Utilizing TCM Semantic Grid / 7.4： |
| Semantic Graph Mining Methodology / 7.4.1： |
| Use Case: TCM Formulae Interpretation and Herb-Drug Interaction Analysis / 7.4.2： |
| DartGrid: A Semantic Grid Implementation / 7.5： |
| DartDB-A Semantic Data Integration Toolkit / 8.1： |
| Overview / 8.2.1： |
| System Features / 8.2.2： |
| System Architecture / 8.2.3： |
| Mapping from Relational Data to Semantic Web Ontology / 8.2.4： |
| Semantic Browser and Query Tool / 8.2.5： |
| Semantic Search Engine / 8.2.6： |
| DartFlow-A Service Flow Management Prototype / 8.3： |
| Main Functions / 8.3.1： |
| Semantic Grid Applications for Traditional Chinese Medicine / 8.4： |
| Background, Status, and Problems of TCM Informatics / 9.1： |
| Background of TCM Informatics / 9.1.1： |
| Status of TCM Informatics / 9.1.2： |
| Problems of TCM Informatics / 9.1.3： |
| The Architecture of TCM e-Science Semantic Grid / 9.2： |
| Three Layers of TCM e-Science Environment / 9.2.1： |
| Application Platforms in TCM e-Science Environment / 9.2.3： |
| Collaborative TCM Ontology Engineering / 9.3： |
| Creating a Semantic Grid of TCM Databases / 9.4： |
| A Semantic Grid Environment for Database Construction / 9.5： |
| TCM Knowledge Discovery Platform / 9.6： |
| Summary / 9.7： |
| Semantic Grid Applications in Intelligent Transportation Systems / 10： |
| ITS System and Grid Computing / 10.1： |
| ITS System and Ontology / 10.1.2： |
| Layered Architecture for ITS-Grid / 10.2： |
| ITS Semantic Grid / 10.3： |
| The Development of an ITS Ontology / 10.3.1： |
| ITS-Grid Applications / 10.3.2： |
| Case Study / 10.4： |
| Index / 10.5： |
ＥＢ
