• DocumentCode
    48148
  • Title

    DIVE: A Graph-Based Visual-Analytics Framework for Big Data

  • Author

    Rysavy, Steven J. ; Bromley, Dennis ; Daggett, Valerie

  • Volume
    34
  • Issue
    2
  • fYear
    2014
  • fDate
    Mar.-Apr. 2014
  • Firstpage
    26
  • Lastpage
    37
  • Abstract
    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.
  • Keywords
    Big Data; data analysis; data structures; data visualisation; graph theory; ontologies (artificial intelligence); Big Data; DIVE; computational approach; data intensive visualization engine; data-agnostic ontologically expressive software framework; data-centric scientific tools; graph-based visual-analytics framework; high-throughput streaming; structured datasets; structured-data-model manipulation; visual-analytics platform; Big data; Data visualization; Interoperability; Ontologies; Visual analytics; DIVE; Data Intensive Visualization Engine; Dynameomics; big data; bioinformatics; computer graphics; molecular dynamics; ontology; visual analytics;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.2014.27
  • Filename
    6777449