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
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