9780123725158-0123725151-Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange

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

ISBN-13: 9780123725158
ISBN-10: 0123725151
Edition: 1
Author: Bernard P. Zeigler, Phillip E. Hammonds
Publication date: 2007
Publisher: Academic Press
Format: Hardcover 448 pages
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Book details

ISBN-13: 9780123725158
ISBN-10: 0123725151
Edition: 1
Author: Bernard P. Zeigler, Phillip E. Hammonds
Publication date: 2007
Publisher: Academic Press
Format: Hardcover 448 pages

Summary

Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange (ISBN-13: 9780123725158 and ISBN-10: 0123725151), written by authors Bernard P. Zeigler, Phillip E. Hammonds, was published by Academic Press in 2007. With an overall rating of 3.5 stars, it's a notable title among other Computer Science (Data Modeling & Design, Databases & Big Data, XML, Programming Languages) books. You can easily purchase or rent Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange (Hardcover) from BooksRun, along with many other new and used Computer Science books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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 US 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 (SOAs). Although XML (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 (SES) which is a well-defined structure, methodology, and practical tool with all of the functionality of UML (Unified Modeling Language) and few of the drawbacks. The SES originated in the formal representation of hierarchical simulation models. So it provides an axiomatic formalism that enables automating the development of XML 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 XML forms of SES 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 tools in the area. The website of the Arizona Center for Integrative Modeling and Simulation, co-founded by Zeigler in 2001, provides links to downloadable software to accompany the book.

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