• DocumentCode
    3717335
  • Title

    MQuery: A query language for scientific meshes

  • Author

    Alireza Rezaei Mahdiraji;Peter Baumann

  • Author_Institution
    Jacobs University, 28759 Bremen, Germany
  • fYear
    2015
  • Firstpage
    1831
  • Lastpage
    1838
  • Abstract
    Several scientific domains operate on mesh data structures. Computations on meshes share a set of basic abstractions which relates to topological and geometric structure of meshes. Due to the complexity of modeling and querying meshes, the database community has neglected the need for a dedicated mesh database and in particular a high-level mesh query language. Currently, such computations is done by using general-purpose programming languages. Such implementations are tightly coupled with dataset characteristics and thus are less reusable, their maintenance cost is high, and their performance is limited to the memory size. In this paper, we describe syntax and semantic of a high-level query language for scientific meshes (called MQuery) with a level of abstraction that can express queries based on topological and geometric navigations. The language is build on top of a graph-based conceptual mesh data model. We report our results comparing two implementations of the language on top of relational and graph databases with a mesh library.
  • Keywords
    "Data models","Database languages","Tin","Databases","Navigation","Solid modeling","Semantics"
  • Publisher
    ieee
  • Conference_Titel
    Big Data (Big Data), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/BigData.2015.7363956
  • Filename
    7363956