Investigating Ontologies for Simulation Modeling

  • Authors:
  • John A. Miller;Gregory T. Baramidze;Amit P. Sheth;Paul A. Fishwick

  • Affiliations:
  • -;-;-;-

  • Venue:
  • ANSS '04 Proceedings of the 37th annual symposium on Simulation
  • Year:
  • 2004

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Abstract

Many fields have or are developing ontologies for theirsubdomains. The Gene Ontology (GO) is now consideredto be a great success in biology, a field that has alreadydeveloped several extensive ontologies. Similar advantagescould accrue to the simulation and modeling community.Ontologies provide a way to establish common vocabularies and capture domain knowledge for organizing the domain with a community wide agreement or with the context of agreement between leading domain experts. Theycan be used to deliver significantly improved (semantic)search and browsing, integration of heterogeneous information sources, and improved analytics and knowledge discovery capabilities. Such knowledge can be used to establish common vocabularies, nomenclatures and taxonomieswith links to detailed information sources. This paper investigates the use, the benefits and the development requirements of Web-accessible ontologies for discrete-event simulation and modeling. As a case study, the development ofa prototype OWL-based ontology for modeling and simulation called the Discrete-event Modeling Ontology (DeMO)is also discussed. Prototype ontologies such as DeMO canserve as a basis for achieving broader community agreement and adoption of ontologies for this field.