is the process of applying documented and repeatable engineering methods for data administration – i.e. managing the information exchange needs including source, format, context of validity, fidelity, and credibility –, data management – i.e. planning, organizing and managing of data, including defining and standardizing the meaning of data and of their relations -, data alignment – i.e. ensuring that data to be exchanged exist in all participating systems, focusing a data provider /data consumer relations -, and data transformation – i.e. the technical process of mapping different representations of the same data elements to each other – supported by a common reference model.
Published in Chapter:
Using Simulation Systems for Decision Support
Andreas Tolk (Old Dominion University, USA)
Copyright: © 2010
|Pages: 20
DOI: 10.4018/978-1-60566-774-4.ch014
Abstract
This chapter describes the use of simulation systems for decision support in support of real operations, which is the most challenging application domain in the discipline of modeling and simulation. To this end, the systems must be integrated as services into the operational infrastructure. To support discovery, selection, and composition of services, they need to be annotated regarding technical, syntactic, semantic, pragmatic, dynamic, and conceptual categories. The systems themselves must be complete and validated. The data must be obtainable, preferably via common protocols shared with the operational infrastructure. Agents and automated forces must produce situation adequate behavior. If these requirements for simulation systems and their annotations are fulfilled, decision support simulation can contribute significantly to the situational awareness up to cognitive levels of the decision maker.