DocumentCode :
188658
Title :
On a Fuzzy Algebra for Querying Graph Databases
Author :
Pivert, Olivier ; Thion, Virginie ; Jaudoin, Helene ; Smits, Gregory
Author_Institution :
IRISA, Univ. of Rennes 1, Lannion, France
fYear :
2014
fDate :
10-12 Nov. 2014
Firstpage :
748
Lastpage :
755
Abstract :
This paper proposes a notion of fuzzy graph database and describes a fuzzy query algebra that makes it possible to handle such database, which may be fuzzy or not, in a flexible way. The algebra, based on fuzzy set theory and the concept of a fuzzy graph, is composed of a set of operators that can be used to express preference queries on fuzzy graph databases. The preferences concern i) the content of the vertices of the graph and ii) the structure of the graph. In a similar way as relational algebra constitutes the basis of SQL, the fuzzy algebra proposed here underlies a user-oriented query language and an associated tool implementing this language that are also presented in the paper.
Keywords :
SQL; algebra; fuzzy set theory; graph theory; query processing; relational algebra; SQL; fuzzy graph databases; fuzzy query algebra; fuzzy set theory; graph databases querying; relational algebra; user-oriented query language; Data models; Database languages; Databases; Fuzzy set theory; Pattern matching; World Wide Web; Fuzzy theory; Graph Database; Query Algebra;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2014 IEEE 26th International Conference on
Conference_Location :
Limassol
ISSN :
1082-3409
Type :
conf
DOI :
10.1109/ICTAI.2014.116
Filename :
6984552
Link To Document :
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