• DocumentCode
    3560998
  • Title

    Querying the Data Web: The MashQL Approach

  • Author

    Jarrar, Mustafa ; Dikaiakos, Marios D.

  • Author_Institution
    Univ. of Birzeit, Bir Zeit, Palestinian Authority
  • Volume
    14
  • Issue
    3
  • fYear
    2010
  • Firstpage
    58
  • Lastpage
    67
  • Abstract
    MashQL, a novel query formulation language for querying and mashing up structured data on the Web, doesn´t require users to know the queried data´s structure or the data itself to adhere to a schema. In this article, the authors address the fact that being a language, not merely an interface (and simultaneously schema-free), MashQL faces a particular set of challenges. In particular, the authors propose and evaluate a novel technique for optimizing queries over large data sets to allow instant user interaction.
  • Keywords
    SQL; distributed databases; query formulation; query processing; MashQL approach; data Web query; data sets; query formulation language; query optimization; user interaction; Data structures; Mashups; Internet; Query formulation; RDF and SPARQL; Semantic Web; data Web; graph databases; indexing methods;
  • fLanguage
    English
  • Journal_Title
    Internet Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7801
  • Type

    jour

  • DOI
    10.1109/MIC.2010.75
  • Filename
    5481368