• DocumentCode
    2048182
  • Title

    An uncertain database model and a query algebra based on possibilistic certainty

  • Author

    Bosc, Patrick ; Pivert, Olivier ; Prade, Henri

  • Author_Institution
    IRISA-ENSSAT, Lannion, France
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    63
  • Lastpage
    68
  • Abstract
    In this paper, we consider relational databases containing uncertain attribute values, in the situation where some knowledge is available about the more or less certain value (or disjunction of values) that a given attribute in a tuple can take. We propose a possibility-theory-based model suited to this context and extend the operators of relational algebra in order to handle such relations in a “compact” thus efficient way. It is shown that the proposed model is a strong representation system for the whole relational algebra. An important result is that the data complexity associated with the extended operators in this context is the same as in the classical database case, which makes the approach highly scalable.
  • Keywords
    possibility theory; relational algebra; relational databases; data complexity; possibilistic certainty; possibility-theory-based model; query algebra; relational algebra; relational databases; uncertain attribute values; uncertain database model; Algebra; Cities and towns; Complexity theory; Context; Data models; Databases; Possibility theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition (SoCPaR), 2010 International Conference of
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-7897-2
  • Type

    conf

  • DOI
    10.1109/SOCPAR.2010.5686430
  • Filename
    5686430