• DocumentCode
    2491826
  • Title

    Managing a Large Shared Bank of Unstructured Data by Using Free-Table

  • Author

    Zhang, Xiao ; Du, Xiaoyong ; Chen, Jinchuan ; Wang, Shan

  • Author_Institution
    Key Lab. of Data Eng. & Knowledge Engineerging, Renming Univ. of China, Beijing, China
  • fYear
    2010
  • fDate
    6-8 April 2010
  • Firstpage
    441
  • Lastpage
    446
  • Abstract
    This paper presents a reference framework, called BUD, to manage a large shared bank of unstructured data. This paper lists several important issues on managing or maintaining the unstructured data in BUD. BUD stores and manages the ever-growing unstructured data by introducing a novel technique called free-table, which is a conceptual view for end-users and a physical entity maintained by transactional storage manager of BUD. Free-table is cell-oriented but not column-oriented as relational table. It can store various types of unstructured data in cell with different versions. Additionally, we study two cases, VMP and PXRDB, to show that our proposal is feasible and tractable.
  • Keywords
    data handling; data structures; relational databases; BUD; PXRDB; VMP; end users entitiy; free table; large shared bank; physical entity; relational table; transactional storage manager; unstructured data; Conference management; Data engineering; Data mining; Data models; Engineering management; Knowledge engineering; Knowledge management; Maintenance engineering; Proposals; Relational databases; BUD; Free-Table; PXRDB; Unstructured Data; VMP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Conference (APWEB), 2010 12th International Asia-Pacific
  • Conference_Location
    Busan
  • Print_ISBN
    978-1-7695-4012-2
  • Electronic_ISBN
    978-1-4244-6600-9
  • Type

    conf

  • DOI
    10.1109/APWeb.2010.78
  • Filename
    5474092