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
Link To Document