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DeMO: An Ontology for Discrete-event Modeling and Simulation
Gregory A Silver1, John A Miller, Maria Hybinette
1College of Business, Anderson University, USA.
Simulation
|August 25, 2012
Summary
This study introduces the Discrete-event Modeling Ontology (DeMO) to benefit the Modeling and Simulation community. DeMO establishes a common vocabulary for improved knowledge discovery and data integration in the field.
Area of Science:
- Computer Science
- Engineering
- Information Science
Background:
- Scientific fields leverage domain-specific ontologies for knowledge organization and discovery.
- The Gene Ontology exemplifies the success of ontologies in biological sciences.
- The Modeling and Simulation community can benefit from similar ontological frameworks.
Purpose of the Study:
- To design and develop an ontology for the Modeling and Simulation domain.
- To introduce the Discrete-event Modeling Ontology (DeMO).
- To demonstrate the utility and advantages of DeMO through prototype applications.
Main Methods:
- Ontology design principles were applied.
- Development of the Discrete-event Modeling Ontology (DeMO).
- Creation of prototype applications to showcase DeMO's functionality.
Main Results:
- The Discrete-event Modeling Ontology (DeMO) has been successfully designed and developed.
- Prototype applications illustrate the practical benefits of DeMO.
- DeMO facilitates common vocabularies and knowledge capture in Modeling and Simulation.
Conclusions:
- Ontologies offer significant advantages for the Modeling and Simulation community.
- DeMO can enhance semantic search, data integration, and knowledge discovery.
- The developed ontology provides a foundation for broader community adoption and application.
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