• DocumentCode
    3124594
  • Title

    DynaCet: Building Dynamic Faceted Search Systems over Databases

  • Author

    Roy, Senjuti Basu ; Wang, Haidong ; Nambiar, Ullas ; Das, Gautam ; Mohania, Mukesh

  • Author_Institution
    Dept of Comput. Sci. & Eng., Univ. of Texas at Arlington, Arlington, TX
  • fYear
    2009
  • fDate
    March 29 2009-April 2 2009
  • Firstpage
    1463
  • Lastpage
    1466
  • Abstract
    Extracting information and insights from large databases is a time-consuming activity and has received considerable research attention recently. In this demo, we present DynaCet - a domain independent system that provides effective minimum-effort based dynamic faceted search solutions over enterprise databases. At every step, Dynacet suggests facets depending on the user response in the previous step. Facets are selected based on their ability to rapidly drill down to the most promising tuples, as well as on the ability of the user to provide desired values for them. The benefits provided include faster access to information stored in databases while taking into consideration the variance in user knowledge and preferences.
  • Keywords
    business data processing; database management systems; DynaCet; dynamic faceted search system; enterprise databases; Customer service; Data analysis; Data engineering; Data mining; Data warehouses; Keyword search; Motion pictures; Taxonomy; Transaction databases; USA Councils; Data Browsing; Dynamic Faceted Search System; Minimum-effort entity 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.2009.117
  • Filename
    4812548