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
Link To Document :
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