DeMO: An Ontology for Discrete-event Modeling and Simulation

被引:27
|
作者
Silver, Gregory A. [1 ]
Miller, John A. [2 ]
Hybinette, Maria [2 ]
Baramidze, Gregory [3 ]
York, William S. [4 ]
机构
[1] Anderson Univ, Coll Business, Anderson, SC 29621 USA
[2] Univ Georgia, Dept Comp Sci, Athens, GA 30602 USA
[3] Western Illinois Univ, Dept Math, Macomb, IL 61455 USA
[4] Univ Georgia, Complex Carbohydrate Res Ctr, Athens, GA 30602 USA
基金
美国国家卫生研究院;
关键词
Discrete systems; simulation environments; standards; Web-based environments; WEB;
D O I
10.1177/0037549710386843
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:747 / 773
页数:27
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