• DocumentCode
    2111979
  • Title

    Database Keyword Search: A Perspective from Optimization

  • Author

    Patil, Rahul ; Zhengxin Chen ; Yong Shi

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Univ. of Nebraska at Omaha, Omaha, NE, USA
  • Volume
    3
  • fYear
    2012
  • fDate
    4-7 Dec. 2012
  • Firstpage
    30
  • Lastpage
    33
  • Abstract
    Optimization-related techniques are playing ever increasing role for Web intelligence. Yet optimization may mean different things to different people. In this paper, starting with a general discussion on the many facets of optimization in information technology (IT), we focus our examination on the recent development in database keyword search, from an optimization-oriented perspective. We first present a review and analysis on related literature, pointing out the need for incorporating contextual information in database keyword queries to achieve better performance. We then present our recently proposed approach, where keyword search is extended to simple English queries to better capture user intension. We conclude this paper by providing a discussion on the importance of database keyword search optimization for data mining and Web intelligence.
  • Keywords
    Internet; data mining; natural language processing; optimisation; query processing; relational databases; English queries; Web intelligence; contextual information; data mining; database keyword queries; database keyword search optimization; information technology optimization; user intension; English Query; Relational database; Search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on
  • Conference_Location
    Macau
  • Print_ISBN
    978-1-4673-6057-9
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2012.188
  • Filename
    6511643