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

Wu, Zhaohui, Chen, Huajun

ISBN 10: 3540794530 / ISBN 13: 9783540794530

Verlag: Springer, 2008

Beschreibung

Like New.

Bestandsnummer des Verkäufers ERICA75835407945305

Bibliografische Details

• Titel: Semantic Grid: Model, Methodology, and Applications (Advanced Topics in Science and Technology in China)
• Verlag: Springer
• Erscheinungsjahr: 2008
• Sprache: Englisch
• ISBN-10: 3540794530
• ISBN-13: 9783540794530
• Einband: Hardcover
• Zustand: Like New
• Buchtyp: book

Über diesen Titel

Inhaltsangabe

Knowledge Representation for the Semantic Grid.- Dynamic Problem Solving in the Semantic Grid.- Trust Computing in the Semantic Grid.- Data Integration in the Semantic Grid.- Service Flow Management in the Semantic Grid.- Data Mining and Knowledge Discovery in the Semantic Grid.- DartGrid: A Semantic Grid Implementation.- Semantic Grid Applications for Traditional Chinese Medicine.- Semantic Grid Applications in Intelligent Transportation Systems.

Über die Autorin bzw. den Autor

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.