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Framework for Adaptive Modeling and Ontology-driven Simulation (FAMOS)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-05-M-4309
Agency Tracking Number: F051-101-2907
Amount: $99,991.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF05-101
Solicitation Number: 2005.1
Timeline
Solicitation Year: 2005
Award Year: 2005
Award Start Date (Proposal Award Date): 2005-04-05
Award End Date (Contract End Date): 2006-01-05
Small Business Information
1408 University Drive East
College Station, TX 77840
United States
DUNS: 555403328
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Perakath Benjamin
 VP Research, Sr. Research Scientist
 (979) 260-5274
 pbenjamin@kbsi.com
Business Contact
 Donielle Mayer
Title: Business Operations Manager
Phone: (979) 260-5274
Email: dmayer@kbsi.com
Research Institution
N/A
Abstract

We propose to research, design, and demonstrate an innovative Framework for Adaptive Modeling and Ontology-driven Simulation (FAMOS). We propose a hybrid approach that combines ontology and process analysis methods with ontology-driven translation generation techniques to facilitate (i) robust simulation composability analysis and (ii) semantic modeling and simulation interoperability. The technical and pragmatic viability of the proposed approach will be validated in Phase I through focused military simulation model composition experiments. The Phase I effort will (i) establish FAMOS requirements, (ii) formulate analysis methods for composable modeling and simulation, (iii) design the FAMOS architecture, and (iv) configure and demonstrate a prototype FAMOS. The Phase II project will harden the software and demonstrate its benefits on a focused Air Force application leading to rapid technology transition and commercialization. Key innovations include (i) advanced ontology, process, and information model analysis methods to assess and facilitate semantic simulation model composability; (ii) novel methods to analyze simulation models at multiple levels of abstraction; (iii) innovative ontology-driven translation generation methods that facilitates semantic information integration; and (iv) novel, scalable component-based software design strategy that will facilitate rapid and cost effective integration and deployment of the solution into critical military applications.

* Information listed above is at the time of submission. *

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