Ontologies for modeling and simulation: issues and approaches
WSC '04 Proceedings of the 36th conference on Winter simulation
Potential modeling and simulation applications of the web ontology language - OWL
WSC '04 Proceedings of the 36th conference on Winter simulation
An ontology-driven framework for process-oriented applications
WSC '05 Proceedings of the 37th conference on Winter simulation
Composability and component-based discrete event simulation
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Distributed simulation for interoperability testing along the supply chain
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
From domain ontologies to modeling ontologies to executable simulation models
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Distributed simulation in industry -- a survey, part 3 -- the HLA standard in industry
Proceedings of the 40th Conference on Winter Simulation
Federated simulations for systems of systems integration
Proceedings of the 40th Conference on Winter Simulation
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This paper describes an ontology-driven approach for the design and execution of interoperable simulation applications. The premise of the research described in this paper is that ontologies provide the foundation for determining semantic interoperability and information exchange requirements. Two fundamental problems are inherent to simulation application integration: (i) Semantic Inaccessibility: caused by the failure to explicitly specify the semantic content of the information contained within each simulation subsystem; and (ii) Logical Disconnectedness: caused by the failure to explicitly represent constraints between the information managed by the different simulation subsystems. The paper will (i) describe the technical challenges that motivate our research; (ii) describe how ontologies enable effective simulation application mediation and interoperability; (iii) describe an automation approach for ontology creation from simulation system description data; and (iv) present a real world application example to illustrate the practical benefits of the solution ideas.