• DocumentCode
    107154
  • Title

    In-Memory Graph Databases for Web-Scale Data

  • Author

    Castellana, Vito Giovanni ; Morari, Alessandro ; Weaver, Jesse ; Tumeo, Antonino ; Haglin, David ; Villa, Oreste ; Feo, John

  • Volume
    48
  • Issue
    3
  • fYear
    2015
  • fDate
    Mar. 2015
  • Firstpage
    24
  • Lastpage
    35
  • Abstract
    A software stack relies primarily on graph-based methods to implement scalable resource description framework databases on top of commodity clusters, providing an inexpensive way to extract meaning from volumes of heterogeneous data.
  • Keywords
    Internet; database management systems; graph theory; pattern clustering; Web-scale data; commodity clusters; graph-based methods; heterogeneous data; inmemory graph databases; scalable resource description framework databases; software stack; Algorithm design and analysis; Clustering algorithms; Data structures; Pattern matching; Resource description framework; Resource management; Software development; RDF databases; SPARQL; big data; graph databases; high-performance computing; multithreading;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/MC.2015.74
  • Filename
    7063171
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=107154