The FAMOS project will use a hybrid approach that combines ontology and process analysis methods with ontology-driven translation generation techniques to facilitate robust simulation composability analysis and support semantic modeling and simulation interoperability. FAMOS will address the issue of simulation model composibility--the capability for selecting simulation components and assembling them into simulation systems that satisfy specific user requirements--by focusing on the processes, ontologies, and meta data for composibility. This focus on process and ontology analysis will leverage KBSI's extensive experience working with simulation and information integration for the past two decades. The result will be a complete analysis method for composable modeling and simulation.

The FAMOS architecture will provide automated support for this method, and KBSI will validate the technical and pragmatic viability of the FAMOS approach and architecture through focused military simulation model composition experiments and demonstrations.

The principal benefits of the FAMOS method and architecture are significant reductions in time and effort needed for developing and deploying distributed simulation applications, and in the time and effort needed to facilitate knowledge sharing, communication, and semantic integration for modeling and simulation applications. These benefits will help the Air Force in their development and execution of distributed simulation applications. A longer term benefit is FAMOS's support as a sustainable mechanism for building simulations that interoperate and share information at the semantic level.

This material is based upon work supported by the United States Air Force under Contract No. FA8650-06-C-4403.  Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the United States Air Force.