Semantic Grid: Model, Methodology, and Applications
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Beschreibung
This book introduces the science and core technologies of semantic grid systems. It also presents two killer applications to show how to build a semantic grid for specific application domains.
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.
Gives a complex network model for semantic grid
Offers a semantic Grid toolkit for data integration and process composition
Discusses semantic-based message middleware
Discusses knowledge discovery and data mining in semantic grid
Autor*in
Zhaohui Wu
Themen in »Semantic Grid: Model, Methodology, and Applications«
ATSTC ZJUP artificial intelligence data mining grid computing knowledge grid ubiquitous computing
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From the reviews:
"This book is organized proposal of the various components of a system able to integrate grid computing and the semantic Web … . The references are listed at the end of each chapter. A short analytical index is included. … A notable point of this book is the organized presentation of many topics that occur in such a large area as semantic grids. … This book is a definite asset for developers and students." (G. Gini, ACM Computing Reviews, January, 2009)
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