DeMO: An Ontology for Discrete-event Modeling and Simulation

  • Authors:

  • Gregory A Silver;John A Miller;Maria Hybinette;Gregory Baramidze;William S York

  • Affiliations:

  • College of Business, Anderson University, USA;Department of Computer Science, University of Georgia,USA;Department of Computer Science, University of Georgia,USA;Department of Mathematics, Western Illinois University,USA;Complex Carbohydrate Research Center, University ofGeorgia, USA

  • Venue:
  • Simulation
  • Year:
  • 2011

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Abstract

Several fields have created ontologies for their subdomains. For example, the biological sciences have developed extensive ontologies such as the Gene Ontology, which is considered a great success. Ontologies could provide similar advantages to the Modeling and Simulation community. They provide a way to establish common vocabularies and capture knowledge about a particular domain with community-wide agreement. Ontologies can support significantly improved (semantic) search and browsing, integration of heterogeneous information sources, and improved knowledge discovery capabilities. This paper discusses the design and development of an ontology for Modeling and Simulation called the Discrete-event Modeling Ontology (DeMO), and it presents prototype applications that demonstrate various uses and benefits that such an ontology may provide to the Modeling and Simulation community.