Share Email Print

Proceedings Paper

Using ontology comparison methods for simulation composition
Author(s): Mukul S. Patki; Perakath Benjamin; Richard Mayer
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Knowledge acquisition/discovery, ontology management, knowledge representation and knowledge sharing are key issues in ontology research. This paper focuses on the issue of applying ontology management and analysis to facilitate the reusability of simulation components based on ontology comparisons. Novel ontology comparison methods for component-based simulation composition are described, such as the four independent approaches for ontology similarity analysis: terminology-based, feature-based, semantic, and topological. A data -fusion-based approach is used to integrate the information from these three techniques into a single similarity score. The assignment of such similarity indices and the use of data fusion to obtain an ontology comparison similarity score are demonstrated using a simple example.

Paper Details

Date Published: 10 May 2007
PDF: 11 pages
Proc. SPIE 6564, Modeling and Simulation for Military Operations II, 656408 (10 May 2007); doi: 10.1117/12.721139
Show Author Affiliations
Mukul S. Patki, Knowledge Based Systems, Inc. (United States)
Perakath Benjamin, Knowledge Based Systems, Inc. (United States)
Richard Mayer, Knowledge Based Systems, Inc. (United States)

Published in SPIE Proceedings Vol. 6564:
Modeling and Simulation for Military Operations II
Kevin Schum; Dawn A. Trevisani, Editor(s)

© SPIE. Terms of Use
Back to Top