Srinivas Chemboli

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Scientific workflows are extensively used to support the management of experimental and computational research by connecting together different data sources, components and processes. However, certain issues such as the ability to check the appropriateness of the processes orchestrated, management of the context of workflow components and specification, and(More)
Development of newer and more sustainable systems requires a thorough understanding of the complex interactions in current systems. Therefore it is necessary to be able to switch between detailed knowledge of component systems and an overall appraisal of the entire system. Current efforts to develop ontologies capturing a "complete" and "universal"(More)
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