Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange

Bernard P. Zeigler

ISBN 10: 0323281826 / ISBN 13: 9780323281829

Editore: Academic Press, 2014

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448 pages. 9.00x6.00x1.01 inches. In Stock.

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Dati bibliografici

• Titolo: Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange
• Editore: Academic Press
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 0323281826
• ISBN 13: 9780323281829
• Rilegatura: Paperback
• Condizione: Brand New

Descrizione articolo

Riassunto

Data Engineering has become a necessary and critical activity for business, engineering, and scientific organizations as the move to service oriented architecture and web services moves into full swing. Notably, the U.S. Department of Defense is mandating that all of its agencies and contractors assume a defining presence on the Net-centric Global Information Grid. This book provides the first practical approach to data engineering and modeling, which supports interoperabililty with consumers of the data in a service- oriented architectures (S.O.As.). Although X.M.L. (eXtensible Modeling Language) is the lingua franca for such interoperability, it is not sufficient on its own. The approach in this book addresses critical objectives such as creating a single representation for multiple applications, designing models capable of supporting dynamic processes, and harmonizing legacy data models for web-based co-existence. The approach is based on the System Entity Structure (S.E.S.) which is a well-defined structure, methodology, and practical tool with all of the functionality of U.M.L. (Unified Modeling Language) and few of the drawbacks. The S.E.S. originated in the formal representation of hierarchical simulation models. So it provides an axiomatic formalism that enables automating the development of X.M.L. dtds and schemas, composition and decomposition of large data models, and analysis of commonality among structures.Zeigler and Hammond include a range of features to benefit their readers. Natural language, graphical and X.M.L. forms of S.E.S. specification are employed to allow mapping of legacy meta-data. Real world examples and case studies provide insight into data engineering and test evaluation in various application domains. Comparative information is provided on concepts of ontologies, modeling and simulation, introductory linguistic background, and support options enable programmers to work with advanced t

L'autore

Bernard P. Zeigler, is a Professor of Electrical & Computer Engineering at the University of Arizona and co-director of the Arizona Center for Integrative Modeling and Simulation. He is the author of numerous books and publications, a Fellow of the I.E.E.E., and of the Society for Modeling and Simulation International. Zeigler is currently heading a project for the Joint Interoperability Test Command (J.I.T.C.) where he is leading the design of the future architecture for large distributed simulation events for the Joint Distributed Engineering Plant (J.D.E.P.). He is also developing D.E.V.S.-methodology approaches for testing mission thread end-to-end interoperability and combat effectiveness of Defense Department acquisitions and transitions to the Global Information Grid with its Service Oriented Architecture (G.I.G./S.O.A.).