Modeling and Simulation Based Data Engineering: Introducing Pragmatic into Ontologies for Net-Centric Information Exchange

Part - 1: Foundations Ontologies and Information Exchange: A Pragmatic Framework Background: Syntax, Semantics, and Ontology Frameworks Formulating Pragmatic Frames and Ontologies: Geospatial Sensor Data Part - 2: System Entity Structure Concepts and Operations Introduction to the System Entity Structure System Entity Structure Axioms: Interpretations and Applications System Entity Structure: Computational Representations Mappings: Transformations and Restructurings Pruned Entity Structures and XML Schema Instances Constrained Pruning Pruned Entity Structures: Data Extraction and Change Based Information Exchange Part - 3: Modeling and Simulation and Data Engineering Hierarchical Systems, Models, and Simulations: The Sea Ontology Managing System Entity Structures: Composing Large Systems Harmonizing Data Representations and Ontologies within Pragmatic Frames Geospatial Sensor Data: the Universal Phase History Data (UPHD) Standard Processing Networks and Pragmatic Frames Dynamic Pragmatics: Issues and Methodology Part - 4: Testing in Net-Centric Environments Testing in a Net Centric Environment: Technology Basis Testing in a Net Centric Environment: Multiple Levels Bringing it all Together: Modeling and Simulation-Based Data Engineering