• DocumentCode
    612176
  • Title

    SuReQL: A subgraph match based relational model for large graphs

  • Author

    Shijie Zhang ; Jiong Yang ; Sun, B.

  • Author_Institution
    EECS Dept., Case Western Reserve Univ., Cleveland, OH, USA
  • fYear
    2013
  • fDate
    8-12 April 2013
  • Firstpage
    212
  • Lastpage
    215
  • Abstract
    Due to the emergence of social networks and biological networks, large graph management and analysis becomes a research area with growing interests. In this paper, we study the problem of modelling large graphs. A subgraph match based relational model is designed to represent a large graph. In this model, subgraphs are considered as virtual relations; subgraph matches could be viewed as tuples; and vertices are treated as attributes. A set of relational algebra operators are defined on this model so that the model is relationally complete. An SQL-like query language, namely SuReQL, is invented to provide an easy interface to query the large graphs.
  • Keywords
    SQL; graph theory; relational algebra; relational databases; SQL-like query language; SuReQL; biological network; graph vertex; large graph analysis; large graph management; large graph querying; large graph representation; relational algebra operator; social network; subgraph match based relational model; tuples; virtual relations; Algebra; Biological system modeling; Database languages; Databases; Pattern matching; Proteins; Syntactics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshops (ICDEW), 2013 IEEE 29th International Conference on
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4673-5303-8
  • Electronic_ISBN
    978-1-4673-5302-1
  • Type

    conf

  • DOI
    10.1109/ICDEW.2013.6547452
  • Filename
    6547452