Using ontologies for simulation modeling
Proceedings of the 38th conference on Winter simulation
Ontology based representations of simulation models following the process interaction world view
Proceedings of the 38th conference on Winter simulation
A corpus-driven approach for design, evolution and alignment of ontologies
Proceedings of the 38th conference on Winter simulation
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
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Service Systems Performance Ontology
Journal of Integrated Design & Process Science
A knowledge-based approach to automated simulation model adaptation
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Towards ontology-driven interoperability for simulation-based applications
Winter Simulation Conference
Proceedings of the Winter Simulation Conference
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The Semantic Web is an evolution of the current world-wide web that provides explicit semantics that enable software applications to better process information representations. The Web Ontology Language -- OWL -- is a new language for representing information on the Semantic Web. Modeling and simulation (M&S) applications have many information representation challenges. Examples of M&S data include data tables from authoritative data sources, behaviors for computer generated forces, and descriptions of units and entities to be simulated. OWL provides a consistent syntax using the Resource Description Framework (RDF) and predefined constructs with standard semantics. These features enable better information sharing and support reasoning by inferencing systems. OWL is best used for representing object-oriented descriptions of items in a well-defined domain. It could be used in the M&S community to support distributed representations of data, behaviors, descriptions of units and objects to be simulated, and scenarios with initial conditions.