Gregory A. Silver

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Key Words (for indexing and abstract services – up to 6 words): Abstract: The new paradigm for distributed computing over the Internet is that of Web services. They are Web accessible software components, which can be combined and linked together to create new functionality in the form of Web processes. This creates the need to compose services into(More)
The Discrete Event Simulation (DES) process interaction world view describes models that focus on simulated entities that progress through a series of temporally related activities. DES formalisms and vendor approaches for representing DES models serve as a basis for developing an open neutral representation of models that can be encoded into ontologies.(More)
Ontologies allow researchers, domain experts, and software agents to share a common understanding of the concepts and relationships of a domain. The past few years have seen the publication of ontologies for a large number of domains. The modeling and simulation community is beginning to see potential for using these ontologies in the modeling process. This(More)
The new paradigm for distributed computing over the Internet is that of Web services. They are Web accessible software components which can be combined and linked together to create new functionality in the form of Web processes. This also creates the need to compose services into processes that are efficient in terms of their performance. In this work, we(More)
The World Wide Web has had an huge influence on the computing field in general as well as simulation in particular (<i>e.g.</i>, Web-Based Simulation). A new wave of development based upon XML has started. Two of the most interesting aspects of this development are the Semantic Web and Web Services. This paper examines the synergy between Web(More)
In modeling and simulation, the need for interoperability can be between simulation models or, more broadly, within simulation environments. For example, simulation of biochemical pathways for glycan biosynthesis will need access to glycomics knowledge bases such as the GlycO, EnzyO and ReactO ontologies and bioinformatics resource/databases. Traditionally,(More)
Simulation optimization is attracting increasing research interest from the modeling and simulation community. Although there is much research on how to apply various simulation optimization techniques to solve numerous practical and research problems, researchers find that existing optimization routines are difficult to extend or integrate and often(More)
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(More)
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