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• W2553548494 abstract "[JOHN - redo this last...] Many fields have or are developing ontologies for their subdomains. The Gene Ontology (GO) is now considered to be a great success in biology, a field that has already developed several extensive ontologies. Similar advantages could 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. They can the be used to provide 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 taxonomies with links to detailed information sources. In this paper, the design and development of a draft ontology for modeling and simulation called the Discreteevent Modeling Ontology (DeMO) are discussed, which can form a basis for achieving a broader community agreement and adoption." @default.
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• W2553548494 date "2004-01-01" @default.
• W2553548494 modified "2023-09-23" @default.
• W2553548494 title "Ontologies for Modeling and Simulation: Initial Framework" @default.
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