
Modeling and Simulation-Based Data Engineering : Introducing Pragmatics into Ontologies for Net-Centric Information Exchange.
Title:
Modeling and Simulation-Based Data Engineering : Introducing Pragmatics into Ontologies for Net-Centric Information Exchange.
Author:
Zeigler, Bernard P.
ISBN:
9780080550541
Personal Author:
Physical Description:
1 online resource (448 pages)
Contents:
Cover -- Contents -- Foreword -- Part I: Foundations -- Chapter 1: Ontologies and Information Exchange: A Pragmatic Framework -- Ontology for Social Relations on an Island -- Definition of Ontology -- Ontology Summary: Prelude to the Framework in This Book -- Pragmatics: The Information Exchange Framework -- Summary -- References -- Chapter 2: Background: Syntax, Semantics, and Ontology Environments -- Semantics: Testing Web Services -- Syntax and XML -- Semantics „ Ontologys Ability to Match Its Set of World Structures to the Pragmatic Frames It Supports -- XML Schema: Strengths and Limitations -- UML -- UML and XML Combined: Strengths and Limitations -- Open Knowledge Base Connectivity Ontology -- Semantic Web Ontologies and Environments -- Summary -- References -- Appendix A: Review of OKBC Knowledge Specification (based on13) -- Chapter 3: Formulating Pragmatic Frames and Ontologies: Geospatial Sensor Data -- Geospatial Imagery Sensors Background -- Pragmatic Frame for Downstream Image Processing -- Sensor Model -- Pragmatic Frame Principles: Maxims for Effective Conversations -- Summary -- References -- Part II: System Entity Structure Concepts and Operations -- Chapter 4: Introduction to the System Entity Structure -- Variables -- Aspects -- Specializations -- Interaction between Aspects and Specializations -- Interaction among Specializations -- multiAspects -- Variables and Range Specifications -- Range Restrictions -- Computed Values and Formulas -- Summary -- References -- Chapter 5: System Entity Structure Axioms: Interpretations and Applications -- Relational Specification of the SES -- Application of Uniformity -- Satisfaction of the Axioms -- Unique Path Labeling -- Pruning Process: Brief Introduction -- System Entity Structure with multiAspects -- Inheritance -- Summary -- Problems -- References.
Chapter 6: System Entity Structure: Computational Representations -- Creating an Instance of Class sesRelation -- Representing the SES as a DOM -- Specifying the SES as an XML File -- Creating a DOM from an SES XML File -- Writing from a DOM for an SES into a DTD -- Testing an SES for Validity -- Schema Representation of SES -- Schema Validation of SES -- Natural Language Specification of an SES -- Summary -- References -- Appendix A: Syntax for Natural Language Specification of an SES -- Chapter 7: Mappings: Transformations and Restructurings -- Tree Operations: Eliminating Specialization and Aspect Labels -- Restructuring of multiAspects -- Restructuring Variables and Specializations -- Partitioning Continuous Ranges Using Specializations -- Converting between Variables and Aspects -- Increasing Specialization Specificity -- Summary -- Chapter 8: Pruned Entity Structures and XML Schema Instances -- Pruned Entity Structures -- Pruning an SES with multiAspects -- Prunable Entity Structures -- The conformsTo Relation -- When Is Pruning Complete? -- Pruning Using SES/JAVA Tools -- Validation and Completion State of PES -- Summary -- Reference -- Chapter 9: Constrained Pruning -- Constraints on Specialization Selections -- Rule-based Approach -- Relation-based Approach -- Implementation -- Relation-based Pruning for multiAspects -- Summary -- References -- Appendix A: Logical Formulation of Selection Rules -- Appendix B: Theory Support for Relation-based Pruning -- Chapter 10: Pruned Entity Structures: Data Extraction and Change-based Information Exchange -- Extracting Data from Pruned Entity Structures -- Using Context to Shorten Path Identifiers -- Change-based Information Exchange -- Summary -- Reference -- Appendix A: Top Ancestor as Context Information -- Part III: Modeling and Simulation and Data Engineering.
Chapter 11: Hierarchical Systems, Models, and Simulations: The SES Ontology -- Why Hierarchical Structure? -- Hierarchical Modular Simulation Models „ Universe of Discourse for the SES Ontology -- The Levels of System Specifications -- Dynamic Data Representations -- Operations on Event Sets and DEVS Model Realizations -- Constructing Hierarchical Event Sets -- Summary -- References -- Chapter 12: Managing System Entity Structures: Composing Large Systems -- Composing Hierarchical Systems and Models -- Targeted Access to Substructures -- Decomposition -- Summary -- Chapter 13: Harmonizing Data Representations and Ontologies within Pragmatic Frames -- Harmonization: Pragmatic Equivalence -- Harmonization of Data Formats -- Need for More Structured Representation -- Current Tools for Ontology Integration -- Harmonization Supported by the SES -- Measuring Commonality -- Harmonization: Increasing Commonality Via Restructuring -- Tracking Restructurings -- Synchronizing Prunings from Harmonized SESs -- Summary -- References -- Chapter 14: Geospatial Sensor Data: The Universal Phase History Data (UPHD) Standard -- Background: Synthetic Aperture Radar Sensing -- Goals for UPHD Standard Development -- Universality and Scope of the UPHD Standard -- Approach: Syntactic, Semantic, and Pragmatic -- Relation to Systems Modeling and Simulation -- Generic Formulation of an SAR System -- Components of the SES -- Wave Form Parameters (WF) -- Wideband Vector Header Data (VH) -- Spatial Data about the Platform/Vehicle (SV) -- UPHD Global Range Definitions -- Managing the UPHD Master and Its Components -- Complexity Measures of the UPHD and Its Components -- Summary -- References -- Appendix A: Abbreviations -- Appendix B: UPHD Table of All Paths -- Chapter 15: Processing Networks and Pragmatic Frames -- Processing Network Pragmatics -- Layered Processing Networks.
Repository of Discoverable Data -- Dynamically Evolving Processing Networks -- Summary -- References -- Chapter 16: Dynamic Pragmatics: Issues and Methodology -- Information Exchange between Humans, Systems, and Services -- Static Pragmatic Frames -- Managing Pragmatic Equivalence within the SES -- Static Pragmatic Frame Analysis -- Dynamic Pragmatics -- How Pragmatics Enhances Semantics -- Summary -- References -- Appendix A: Dynamic Harmonization Goal-seeking Control Theory Analogy -- Appendix B: Pragmatic Frame Conjecture -- Part IV: Testing in Net-Centric Environments -- Chapter 17: Testing in a Net-Centric Environment: Technology Basis -- Introducing Automation into Traditional Testing of Standards Conformance -- Employing Agent-based Technology for Web-Services Testing -- Summary -- References -- Appendix A: Infusion of Modeling and Simulation into Defense Acquisition -- Appendix B: Opportunistic Message Tester -- Chapter 18: Testing in a Net-Centric Environment: Multiple Levels -- Simultaneous Testing at Multiple Levels -- Integrated Architectures for System Development and Testing -- Summary -- References -- Appendix A: Testing for Pruning Rule Satisfaction -- Chapter 19: Bringing It All Together: Modeling and Simulation-based Data Engineering -- Revisiting the SES Framework -- Geographic Information Representation in UML and Encoding in XML -- Web Ontology Language (OWL) -- UML and Ontology Development -- The SES Framework within the UML Context -- Summary -- Further Research and Development -- References -- Appendix A: Scalable Entity Structure Modeler (SESM) -- Glossary -- Index.
Abstract:
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 SIMULATION.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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