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Proceedings Paper

A framework for adaptive modeling and ontology-driven simulation (FAMOS)
Author(s): Perakath Benjamin; Michael Graul
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Paper Abstract

This paper describes the motivations, methods, and solution concepts of a novel Framework for Adaptive Modeling and Ontology-driven Simulation (FAMOS). FAMOS uses a hybrid approach that combines ontology and process analysis methods with ontology-driven translation generation techniques to facilitate (1) robust simulation composability analysis and (2) semantic modeling and simulation interoperability. FAMOS provides enabling technology that addresses the technical challenges in three areas: (1) Modeling and Simulation Composability, (2) Semantic Interoperability and Information Sharing, and (3) Model Composition at Multiple Levels of Abstraction. The paper will (1) outline the technical challenges targeted by our research, (2) describe the FAMOS Ontology-driven Simulation Application Integration (OSAI) Method, and (3) introduce the FAMOS solution architecture that provides automated support for the OSAI method.

Paper Details

Date Published: 22 May 2006
PDF: 11 pages
Proc. SPIE 6227, Enabling Technologies for Simulation Science X, 622705 (22 May 2006); doi: 10.1117/12.666872
Show Author Affiliations
Perakath Benjamin, Knowledge Based Systems, Inc. (United States)
Michael Graul, Knowledge Based Systems, Inc. (United States)

Published in SPIE Proceedings Vol. 6227:
Enabling Technologies for Simulation Science X
Dawn A. Trevisani, Editor(s)

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