DocumentCode
1605420
Title
Towards an algebraic query language for possibilistic databases
Author
Bosc, Patrick ; Pivert, Oher
Author_Institution
IRISA/ENSSAT, Technopole ANTICIPA, Lannion, France
Volume
1
fYear
2003
Firstpage
761
Abstract
This paper is situated in the area of databases containing ill-known attribute values represented by possibility distributions. Any such database has a canonical interpretation as a set of more or less possible regular databases, but, it is well known that their manipulation raises a number of problems, in particular with respect to the soundness of querying operations and the tractability of the evaluation process. In this paper, we propose a query language including four operators which are soundly defined on extended possibilistic (compact) relations, which is the key for tractability. The originality of the approach is twofold: i) a nesting mechanism is introduced in the data model in order to support the expression of the result of some of the operations allowed and ii) a join operation enables to compose possibilistic relations under some reasonable hypotheses.
Keywords
data models; database theory; fuzzy set theory; possibility theory; query languages; query processing; relational databases; Boolean predicate; algebraic query language; canonical interpretation; data model; extended possibilistic relations; fuzzy set; ill-known attribute values; join operation; nesting mechanism; possibilistic databases; possibility distributions; relational databases; tractability; Data models; Database languages; Image recognition; Information systems; Possibility theory; Relational databases; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
Print_ISBN
0-7803-7810-5
Type
conf
DOI
10.1109/FUZZ.2003.1209459
Filename
1209459
Link To Document