• DocumentCode
    1841664
  • Title

    A fuzzy XML database system: Data storage and query processing

  • Author

    Jin, Ying ; Veerappan, Sangeetha

  • Author_Institution
    Comput. Sci. Dept., California State Univ., Sacramento, CA, USA
  • fYear
    2010
  • fDate
    4-6 Aug. 2010
  • Firstpage
    318
  • Lastpage
    321
  • Abstract
    Fuzzy logic reflects human nature to express and evaluate the world in a vague manner. This paper describes our approach to incorporate fuzzy logic into XML database systems. The system was built on top of traditional XML databases, while allows the storage of fuzzy data as well as crisp data. The paper describes the structure of the system, starting with the critical architectural component named fuzzy meta- knowledge base, which records different types of fuzzy distributions for database attributes. Next, a fuzzy query language is presented that is based on the XQuery standard, while allowing fuzzy expressions in any condition in a query. A query processor was built to allow the processing and execution of a fuzzy query over both fuzzy and crisp XML data.
  • Keywords
    XML; database management systems; fuzzy logic; query languages; query processing; XQuery standard; data storage; fuzzy XML database system; fuzzy logic; fuzzy meta-knowledge base; query processing; Books; Database languages; Database systems; Memory; Pragmatics; XML; Fuzzy; Query Processing; XML Databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Reuse and Integration (IRI), 2010 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-8097-5
  • Type

    conf

  • DOI
    10.1109/IRI.2010.5558919
  • Filename
    5558919