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The need for data-centric scientific tools is growing; domains such as biology, chemistry, and physics are increasingly adopting computational approaches. So, scientists must deal with the challenges of big data. To address these challenges, researchers built a visual-analytics platform named DIVE (Data Intensive Visualization Engine). DIVE is a data-agnostic, ontologically expressive software framework that can stream large datasets at interactive speeds. In particular, DIVE makes novel contributions to structured-data-model manipulation and high-throughput streaming of large, structured datasets.
Big data, Ontologies, Data visualization, Interoperability, Visual analytics,Data Intensive Visualization Engine, big data, bioinformatics, molecular dynamics, ontology, visual analytics, computer graphics, Dynameomics, DIVE
Steven J. Rysavy, Dennis Bromley, Valerie Daggett, "DIVE: A Graph-Based Visual-Analytics Framework for Big Data", IEEE Computer Graphics and Applications, vol. 34, no. , pp. 26-37, Mar.-Apr. 2014, doi:10.1109/MCG.2014.27
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