9780123725158

Book Description: Book Condition: New. This item is printed on demand. Bookseller Inventory # 5164955-n

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Book Description: Elsevier Publishers. Book Condition: New. New. Bookseller Inventory # 0123725151

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Book Description: Academic Press Inc, San Diego, 2007. Book Condition: New. Bookseller Inventory # 1003785

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Book Description: Academic Pr, 2007. Hardcover. Book Condition: Brand New. illustrated edition. 448 pages. 9.00x6.25x1.25 inches. In Stock. Bookseller Inventory # __0123725151

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Book Description: Elsevier Science, 2007. Hardback. Book Condition: New. 9.02 by 5.98 inches. (448 pages) This item is printed on demand. Please allow up to 10 days extra for printing & delivery. 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 * The only practical guide to integrating XML and web services in data engineering * Introduces linguistic levels of interoperability for effective information exchange * Covers the interoperability standards mandated by national and international agencies * Complements Zeigler's classic THEORY OF MODELING AND SIMULATIONIntroduction Overview of Data Modeling Basics of System Entity Structuring Representing the SES in XML Using the SES-Java Tool Set Scaling Up to Real World Complexity SES Families for Dynamic Data Processes Harmonization: Comparing SESs and Finding Common Cores Areas Needing Research This book provides a practical methodology and framework to address some of the most pressing challenges impacting the interoperability and supportability of Information Technology (IT) systems and their viability as part of the Global Information Grid (GIG). The surge in capital investment in IT systems, the proliferation of hardware and software as well as the dynamic forces influencing technological growth has made Interoperability and Supportability (I his dissertation focused on natural language directives processing and analysis. He has published articles and software in the areas of modeling and simulation, high-performance computing analysis, data engineering, and Slavic linguistics. AudienceDescription: Professionals developing data modeling for business, engineering, and scientific organizations, including working groups, agencies, and contractors of the US Dept of Defense, professors and graduate students conducting research in computer science, information technology, e-commerce, and related areas. (Hardback). Bookseller Inventory # AD0123725151

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