• DocumentCode
    2755738
  • Title

    Local Query Generation for Distributed XQuery Queries

  • Author

    Park, Jong-Hyun ; Kang, Ji-Hoon

  • Author_Institution
    Res. Inst. for Inf. Technol., Kyushu Univ., Fukuoka, Japan
  • fYear
    2010
  • fDate
    10-12 Oct. 2010
  • Firstpage
    9
  • Lastpage
    12
  • Abstract
    XML view is proposed to integrate between XML data and heterogeneous data over distributed environment and global XML view is used to search distributed heterogeneous data. Distributed XQuery queries based on a global XML view can search heterogeneous data seamlessly, being distributed in the local systems. One of the basic and simple methods to process distributed SQL queries is that generates local SQL queries for processing a distributed SQL query and constructs the result of the distributed query from the results of the local queries. Therefore, it is natural to consider how the method for distributed SQL queries can be applied to processing XQuery queries. However, the syntax of XQuery differs from SQL because the XQuery contains some special expressions like FOR clauses for querying to semi-structured data. Therefore, this paper defines some problems to generate local XQuery queries for processing distributed XQuery queries and proposes a method for generating local XQuery queries considered these problems. We also implement a distributed XQuery query processor using our method.
  • Keywords
    SQL; XML; distributed processing; query processing; XML data; XML view; XQuery queries processing; distributed SQL query; distributed XQuery queries; distributed heterogeneous data; local query generation; Data mining; Database languages; Distributed databases; Generators; Query processing; Syntactics; XML; Distributed XML Data; Distributed XQuery; Local XQuery Query Generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2010 International Conference on
  • Conference_Location
    Huangshan
  • Print_ISBN
    978-1-4244-8434-8
  • Electronic_ISBN
    978-0-7695-4235-5
  • Type

    conf

  • DOI
    10.1109/CyberC.2010.13
  • Filename
    5615506