• DocumentCode
    3124919
  • Title

    FRISK: Keyword Query Cleaning and Processing in Action

  • Author

    Pu, Ken Q. ; Yu, Xiaohui

  • Author_Institution
    Fac. of Sci., Univ. of Ontario Inst. of Technol., Oshawa, ON
  • fYear
    2009
  • fDate
    March 29 2009-April 2 2009
  • Firstpage
    1531
  • Lastpage
    1534
  • Abstract
    Keyword search provides a simple yet effective way for the users to query and explore the underlying documents. In the recent years, there have been a great deal of research and development activities on extending keyword search capabilities to handle relational data, the dominant form in which business data are stored. Algorithms and prototype systems, such as Discover, DBXplorer, BANKS, and SPARK, have been developed to support retrieving relevant information from relational databases using keyword queries.
  • Keywords
    query processing; relational databases; FRISK; information retrieval; keyword query cleaning; keyword query processing; keyword search; relational database handling; Books; Cleaning; Data engineering; Information retrieval; Information technology; Keyword search; Prototypes; Relational databases; Web sites; World Wide Web; keyword query cleaning; keyword search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    1084-4627
  • Print_ISBN
    978-1-4244-3422-0
  • Electronic_ISBN
    1084-4627
  • Type

    conf

  • DOI
    10.1109/ICDE.2009.139
  • Filename
    4812565