• DocumentCode
    1623727
  • Title

    On fuzzy queries with contextual predicates

  • Author

    Bosc, Patrick ; Pivert, Olivier ; Mokhtari, Amine

  • Author_Institution
    IRISA-ENSSAT, Lannion, France
  • fYear
    2009
  • Firstpage
    484
  • Lastpage
    489
  • Abstract
    This paper deals with the interpretation and processing of database queries with preference conditions of the form ldquoattribute is low (resp. medium, high)rdquo in the situation where the user is not aware of the actual content of the database but still wants to retrieve the best possible answers (relatively to that content). An approach to the definition of the terms ldquolowrdquo, ldquomediumrdquo and ldquohighrdquo in a contextual and relative manner is introduced. A processing algorithm aimed at efficiently retrieving the top-k answers to such a query is also outlined.
  • Keywords
    fuzzy set theory; query processing; contextual predicate; database query; fuzzy-set-based approach; processing algorithm; Algebra; Cities and towns; Content based retrieval; Context awareness; Database languages; Database systems; Fuzzy sets; Information retrieval; Relational databases; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
  • Conference_Location
    Jeju Island
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-3596-8
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2009.5277136
  • Filename
    5277136