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.

中文翻译：

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演示：离散事件建模和仿真的本体

一些领域已经为其子域创建了本体。例如，生物科学已经开发了广泛的本体，例如被认为是巨大成功的基因本体。本体可以为建模和仿真社区提供类似的优势。它们提供了一种方法来建立通用词汇表并在社区范围内达成一致的情况下获取有关特定领域的知识。本体可以支持显着改进的（语义）搜索和浏览、异构信息源的集成以及改进的知识发现能力。本文讨论了称为离散事件建模本体 (DeMO) 的建模和仿真本体的设计和开发，