Augmenting Data Collection and Analysis of Operational Simulations with RDF and SPARQL

In this paper, we describe a toolset (Framework) and associated analytic methodology that are intended to support the development of architectural models for Network-Centric \´intelligent" air systems. The Framework has been developed, as an architecture-driven, concept, design and evaluation environment for network-centric aeronautical systems that leverages a range of Semantic Web technologies. The Framework provides a flexible distributed simulation environment that will accommodate a wide range of "pluggable" operations analysis (OA) simulations and design tools to support assessment of systems under consideration. We employ a general meta- model of the common domain of discourse that contains, organizes and correlates all the information that each of the "plugged-in" applications needs to function as well as any additional information particular to the composed system. This model becomes the basis of communications between the cooperating systems. These models are then used to configure a user-selected set of distributed simulations and data analysis tools.