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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

S. J. Rysavy, D. Bromley and V. Daggett, "DIVE: A Graph-Based Visual-Analytics Framework for Big Data," in IEEE Computer Graphics and Applications, vol. 34, no. 2, pp. 26-37, 2014.
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