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 :
بازگشت