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

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
72921
Program Year/Program:
2005 / SBIR
Agency Tracking Number:
F051-101-2907
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Knowledge Based Systems, Inc.
1408 University Drive East College Station, TX 77840-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2005
Title: Framework for Adaptive Modeling and Ontology-driven Simulation (FAMOS)
Agency / Branch: DOD / USAF
Contract: FA8650-05-M-4309
Award Amount: $99,991.00
 

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.

Principal Investigator:

Perakath Benjamin
VP Research, Sr. Research Scientist
9792605274
pbenjamin@kbsi.com

Business Contact:

Donielle Mayer
Business Operations Manager
9792605274
dmayer@kbsi.com
Small Business Information at Submission:

KNOWLEDGE BASED SYSTEMS, INC.
1408 University Drive East College Station, TX 77840

EIN/Tax ID: 742505334
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No