• DocumentCode
    484959
  • Title

    Dynamic Discovery of Incomplete Information in XML Data

  • Author

    Zhang, Feng ; Hong, Xiaoguang ; Bian, Ji

  • Author_Institution
    Coll. of Comput. Sci., Shandong Univ., Jinan
  • Volume
    1
  • fYear
    2008
  • fDate
    6-8 Oct. 2008
  • Firstpage
    418
  • Lastpage
    423
  • Abstract
    XML becomes widely used in Web applications and Database systems. XML also is an important medium in pervasive computing. While, XML data may contain incomplete information as its own characters which are tree type structure, different schemas in heterogeneous databases and non-standard operations of normal users. This incomplete information can bring some unexpected effectives in operations like SELECT, JION and etc. Although these problems are widely studied in relational database systems, this is not the case in the native XML database systems. So how to discover incomplete information and complete it becomes the main point of our research. In this paper, we extend the concept of XML data tree, which allows XML data contains incomplete information legally. Then we present an algorithm, DiscoveryFD, for efficient discovery of functional dependencies which are related with incomplete information in XML data. We also present an algorithm, XMLChase, which can help us complete the incomplete information.
  • Keywords
    XML; data structures; distributed databases; relational databases; ubiquitous computing; DiscoveryFD; XML data tree; XMLChase; dynamic discovery; heterogeneous databases; pervasive computing; relational database systems; Database systems; Educational institutions; Null value; Pervasive computing; Relational databases; Tree data structures; XML; Incomplete information; Null value; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on
  • Conference_Location
    Alexandria
  • Print_ISBN
    978-1-4244-2020-9
  • Electronic_ISBN
    978-1-4244-2021-6
  • Type

    conf

  • DOI
    10.1109/ICPCA.2008.4783623
  • Filename
    4783623