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Modeling & Simulation-Based Data Engineering - Introducing Pragmatics into Ontologies for Net-Centric Information Exchange
von: Bernard P. Zeigler, Phillip E Hammonds
Elsevier Trade Monographs, 2007
ISBN: 9780080550541 , 448 Seiten
Format: PDF
Kopierschutz: DRM
Preis: 78,95 EUR
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Modeling & Simulation-Based Data Engineering - Introducing Pragmatics into Ontologies for Net-Centric Information Exchange
Cover
1
Contents
8
Foreword
12
Part I: Foundations
16
Chapter 1: Ontologies and Information Exchange: A Pragmatic Framework
18
Ontology for Social Relations on an Island
19
Definition of Ontology
20
Ontology Summary: Prelude to the Framework in This Book
23
Pragmatics: The Information Exchange Framework
24
Summary
27
References
27
Chapter 2: Background: Syntax, Semantics, and Ontology Environments
28
Semantics: Testing Web Services
29
Syntax and XML
30
Semantics „ Ontologys Ability to Match Its Set of World Structures to the Pragmatic Frames It Supports
32
XML Schema: Strengths and Limitations
32
UML
37
UML and XML Combined: Strengths and Limitations
39
Open Knowledge Base Connectivity Ontology
40
Semantic Web Ontologies and Environments
43
Summary
44
References
45
Appendix A: Review of OKBC Knowledge Specification (based on13)
46
Chapter 3: Formulating Pragmatic Frames and Ontologies: Geospatial Sensor Data
50
Geospatial Imagery Sensors Background
52
Pragmatic Frame for Downstream Image Processing
56
Sensor Model
59
Pragmatic Frame Principles: Maxims for Effective Conversations
60
Summary
63
References
64
Part II: System Entity StructureConcepts and Operations
66
Chapter 4: Introduction to the System Entity Structure
68
Variables
69
Aspects
69
Specializations
71
Interaction between Aspects and Specializations
72
Interaction among Specializations
74
multiAspects
75
Variables and Range Specifications
78
Range Restrictions
79
Computed Values and Formulas
81
Summary
83
References
84
Chapter 5: System Entity Structure Axioms: Interpretations and Applications
86
Relational Specification of the SES
87
Application of Uniformity
91
Satisfaction of the Axioms
93
Unique Path Labeling
96
Pruning Process: Brief Introduction
97
System Entity Structure with multiAspects
97
Inheritance
99
Summary
102
Problems
103
References
103
Chapter 6: System Entity Structure: Computational Representations
105
Creating an Instance of Class sesRelation
106
Representing the SES as a DOM
109
Specifying the SES as an XML File
111
Creating a DOM from an SES XML File
113
Writing from a DOM for an SES into a DTD
113
Testing an SES for Validity
115
Schema Representation of SES
117
Schema Validation of SES
121
Natural Language Specification of an SES
122
Summary
122
References
123
Appendix A: Syntax for Natural Language Specification of an SES
123
Chapter 7: Mappings: Transformations and Restructurings
128
Tree Operations: Eliminating Specialization and Aspect Labels
129
Restructuring of multiAspects
132
Restructuring Variables and Specializations
136
Partitioning Continuous Ranges Using Specializations
138
Converting between Variables and Aspects
138
Increasing Specialization Specificity
140
Summary
141
Chapter 8: Pruned Entity Structures and XML Schema Instances
143
Pruned Entity Structures
145
Pruning an SES with multiAspects
150
Prunable Entity Structures
150
The conformsTo Relation
153
When Is Pruning Complete?
154
Pruning Using SES/JAVA Tools
156
Validation and Completion State of PES
159
Summary
160
Reference
160
Chapter 9: Constrained Pruning
161
Constraints on Specialization Selections
161
Rule-based Approach
162
Relation-based Approach
169
Implementation
172
Relation-based Pruning for multiAspects
175
Summary
180
References
180
Appendix A: Logical Formulation of Selection Rules
180
Appendix B: Theory Support for Relation-based Pruning
182
Chapter 10: Pruned Entity Structures: Data Extraction and Change-based Information Exchange
191
Extracting Data from Pruned Entity Structures
192
Using Context to Shorten Path Identifiers
194
Change-based Information Exchange
198
Summary
201
Reference
202
Appendix A: Top Ancestor as Context Information
202
Part III: Modeling and Simulationand Data Engineering
208
Chapter 11: Hierarchical Systems, Models, and Simulations: The SES Ontology
210
Why Hierarchical Structure?
211
Hierarchical Modular Simulation Models „ Universe of Discourse for the SES Ontology
212
The Levels of System Specifications
214
Dynamic Data Representations
216
Operations on Event Sets and DEVS Model Realizations
218
Constructing Hierarchical Event Sets
222
Summary
223
References
223
Chapter 12: Managing System Entity Structures: Composing Large Systems
225
Composing Hierarchical Systems and Models
229
Targeted Access to Substructures
232
Decomposition
233
Summary
233
Chapter 13: Harmonizing Data Representations and Ontologies within Pragmatic Frames
234
Harmonization: Pragmatic Equivalence
237
Harmonization of Data Formats
240
Need for More Structured Representation
242
Current Tools for Ontology Integration
243
Harmonization Supported by the SES
243
Measuring Commonality
246
Harmonization: Increasing Commonality Via Restructuring
247
Tracking Restructurings
251
Synchronizing Prunings from Harmonized SESs
252
Summary
254
References
255
Chapter 14: Geospatial Sensor Data: The Universal Phase History Data (UPHD) Standard
257
Background: Synthetic Aperture Radar Sensing
258
Goals for UPHD Standard Development
260
Universality and Scope of the UPHD Standard
262
Approach: Syntactic, Semantic, and Pragmatic
265
Relation to Systems Modeling and Simulation
266
Generic Formulation of an SAR System
266
Components of the SES
267
Wave Form Parameters (WF)
268
Wideband Vector Header Data (VH)
271
Spatial Data about the Platform/Vehicle (SV)
271
UPHD Global Range Definitions
277
Managing the UPHD Master and Its Components
279
Complexity Measures of the UPHD and Its Components
280
Summary
284
References
284
Appendix A: Abbreviations
284
Appendix B: UPHD Table of All Paths
285
Chapter 15: Processing Networks and Pragmatic Frames
288
Processing Network Pragmatics
289
Layered Processing Networks
292
Repository of Discoverable Data
299
Dynamically Evolving Processing Networks
300
Summary
301
References
302
Chapter 16: Dynamic Pragmatics: Issues and Methodology
303
Information Exchange between Humans, Systems, and Services
305
Static Pragmatic Frames
310
Managing Pragmatic Equivalence within the SES
316
Static Pragmatic Frame Analysis
318
Dynamic Pragmatics
318
How Pragmatics Enhances Semantics
321
Summary
323
References
324
Appendix A: Dynamic Harmonization Goal-seeking Control Theory Analogy
325
Appendix B: Pragmatic Frame Conjecture
325
Part IV: Testing in Net-CentricEnvironments
336
Chapter 17: Testing in a Net-Centric Environment: Technology Basis
338
Introducing Automation into Traditional Testing of Standards Conformance
339
Employing Agent-based Technology for Web-Services Testing
352
Summary
369
References
370
Appendix A: Infusion of Modeling and Simulation into Defense Acquisition
371
Appendix B: Opportunistic Message Tester
372
Chapter 18: Testing in a Net-Centric Environment: Multiple Levels
376
Simultaneous Testing at Multiple Levels
383
Integrated Architectures for System Development and Testing
387
Summary
397
References
398
Appendix A: Testing for Pruning Rule Satisfaction
400
Chapter 19: Bringing It All Together: Modeling and Simulation-based Data Engineering
403
Revisiting the SES Framework
405
Geographic Information Representation in UML and Encoding in XML
409
Web Ontology Language (OWL)
415
UML and Ontology Development
418
The SES Framework within the UML Context
419
Summary
427
Further Research and Development
427
References
427
Appendix A: Scalable Entity Structure Modeler (SESM)
428
Glossary
433
Index
438
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