An ontology to represent queries in fuzzy relational databases

Author

Martinez-Cruz, Carmen ; Blanco, Ignacio ; Vila, M. Amparo

Author_Institution

Comput. Dept., Univ. of Jaen, Jaen, Spain

fYear

2011

fDate

22-24 Nov. 2011

Firstpage

1317

Lastpage

1322

Abstract

Fuzzy data management in databases is a complex process because of flexible data nature and heterogeneous database systems. A solution to this problem has been solved using an ontology which isolates the fuzzy database representation of their management platform making fuzzy schemas Relational Database Management System (RDBMS)-independent and Web-accessible. However, queries performed on fuzzy databases present similar problems. In this proposal an ontology which represents a query structure regardless of any RDBMS implementation is defined. This ontology allows generating and executing any query on fuzzy or classical data according to the system where it is executed.

Keywords

fuzzy set theory; ontologies (artificial intelligence); relational databases; flexible data; fuzzy data management; fuzzy database representation; fuzzy relational databases; fuzzy schemas; heterogeneous database systems; ontology; query structure; relational database management system; Catalogs; Data models; Ontologies; Proposals; Relational databases; Vegetation; FSQL; Fuzzy data; Ontology; Query; Select Clause; fuzzy relational databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on

Conference_Location

Cordoba

ISSN

2164-7143

Print_ISBN

978-1-4577-1676-8

Type

conf

DOI

10.1109/ISDA.2011.6121842

Filename

6121842