Modeling and Simulation Based Data Engineering

Contents
FOREWORD xi
PART I FOUNDATIONS
1 ONTOLOGIES AND INFORMATION
EXCHANGE: A PRAGMATIC FRAMEWORK 3
How Ontologies generate world state descriptions for use in
application contexts called pragmatic frames
2 BACKGROUND: SYNTAX, SEMANTICS, AND
ONTOLOGY FRAMEWORKS 13
Introduction to XML and related ontology environments
3 FORMULATING PRAGMATIC FRAMES AND
ONTOLOGIES: GEOSPATIAL SENSOR DATA 35
Illustrating pragmatic frame concepts in the geospatial
sensing context
PART II SYSTEM ENTITY STRUCTURE CONCEPTS
AND OPERATIONS
4 INTRODUCTION TO THE SYSTEM ENTITY
STRUCTURE 53
Basic concepts of system entity structure (SES) with examples
of how to apply them
5 SYSTEM ENTITY STRUCTURE AXIOMS:
INTERPRETATIONS AND APPLICATIONS 71
Illustrated presentation of the set theoretic formulation
of SES and how the axioms are interpreted and how they
impact application
6 SYSTEM ENTITY STRUCTURE:
COMPUTATIONAL REPRESENTATIONS 90
Representing SES in XML, DOM, JAVA, and Natural
Language and their transformations
7 MAPPINGS: TRANSFORMATIONS AND
RESTRUCTURINGS 113
Restructurings of the SES that support development and
harmonization
8 PRUNED ENTITY STRUCTURES AND XML
SCHEMA INSTANCES 128
Pruning as a process for generating world state descriptions
and their encodings in XML
9 CONSTRAINED PRUNING 146
Using rules and relations to constrain pruned entity
structures (PES) to better describe the application domain
10 PRUNED ENTITY STRUCTURES:
DATA EXTRACTION AND CHANGE-BASED
INFORMATION EXCHANGE 176
Applying the SES and PES structures to implement efficient
data extraction and information exchange
PART III MODELING AND SIMULATION AND DATA
ENGINEERING
11 HIERARCHICAL SYSTEMS, MODELS, AND
SIMULATIONS: THE SES ONTOLOGY 195
Connects the SES with the domain of simulation modeling
using application examples
12 MANAGING SYSTEM ENTITY STRUCTURES:
COMPOSING LARGE SYSTEMS 210
Merging SESs and PESs to compose large hierarchical
structures from components
13 HARMONIZING DATA REPRESENTATIONS
AND ONTOLOGIES WITHIN PRAGMATIC
FRAMES 219
How to use Pragmatic Frames and SES concepts to provide a
sound basis for information exchange
14 GEOSPATIAL SENSOR DATA:
THE UNIVERSAL PHASE HISTORY DATA
(UPHD) STANDARD 242
An example of the application of SES-based methodology to a
significant real-world problem domain
15 PROCESSING NETWORKS AND
PRAGMATIC FRAMES 273
Formulates networks of information processing nodes in terms
of metadata operations and pragmatic frames
16 DYNAMIC PRAGMATICS: ISSUES AND
METHODOLOGY 288
Discusses how to evaluate metadata in existing data exchange
standards and to manage evolution over time
PART IV TESTING IN NET-CENTRIC
ENVIRONMENTS
17 TESTING IN A NET-CENTRIC
ENVIRONMENT: TECHNOLOGY BASIS 323
Automation based on the book’s concepts achieves rigor and
faster test development in a net-centric environment
18 TESTING IN A NET-CENTRIC
ENVIRONMENT: MULTIPLE LEVELS 361
How to use the framework to test at syntactic, semantic, and
pragmatic levels
19 BRINGING IT ALL TOGETHER: MODELING
AND SIMULATION-BASED DATA
ENGINEERING 388
In-depth examination of the book’s contribution and its
relation to the state-of-the-art
GLOSSARY 418
INDEX 423


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