Semantic Grid: Model, Methodology, and Applications

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Semantic Grid: Model, Methodology, and Applications / Zhaohui Wu, Hua-jun Chen, Huajun Chen, Zhao-hui Wu

資料種別:

電子ブック

出版情報:

Springer eBooks Computer Science
Springer, 2008

著者名:

ISBN:

9783540794530 [3540794530]
9786611904470 [6611904476]
9787308058308 [7308058301]

書誌ID:

OB00350594

子書誌情報

フルテキスト

所蔵情報

書誌詳細

その他の標題:

SEMANTIC GRID

主題:

Information Technology - Computer Science (Hardware & Networks)

言語:

英語

目次情報:

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：

Introduction / 1：

Background / 1.1：

Grid Computing / 1.1.1：

Semantic Web / 1.1.2：

Semantic Grid / 1.2：

Basic Concepts / 1.2.1：

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