Using ontology comparison methods for simulation composition

Mukul S. Patki; Perakath Benjamin; Richard Mayer

doi:10.1117/12.721139

10 May 2007 Using ontology comparison methods for simulation composition

Mukul S. Patki, Perakath Benjamin, Richard Mayer

Proceedings Volume 6564, Modeling and Simulation for Military Operations II; 656408 (2007) https://doi.org/10.1117/12.721139
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

Citation Download Citation

Mukul S. Patki, Perakath Benjamin, and Richard Mayer "Using ontology comparison methods for simulation composition", Proc. SPIE 6564, Modeling and Simulation for Military Operations II, 656408 (10 May 2007); https://doi.org/10.1117/12.721139

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