Fuzzy ontology implementation and query answering on databases

Author

Bahri, Afef ; Bouaziz, Rafik ; Gargouri, Faïez

Author_Institution

MIRACL Lab., Sfax, Tunisia

fYear

2009

fDate

14-17 June 2009

Firstpage

1

Lastpage

6

Abstract

The conceptual formalisms supported by typical ontologies may be not sufficient for handling imprecise information commonly found in many application domains. Fuzzy ontologies are developed to overcome this problem. The implementation, inference and query of fuzzy ontologies gain more attention in recent years. This paper addresses fuzzy ontology implementation and query answering on databases. We propose a language to define fuzzy ontology schema and to query fuzzy ontology databases and an inferential engine to infer fuzzy concept instances and their membership degrees.

Keywords

database management systems; fuzzy set theory; inference mechanisms; query languages; query processing; databases; fuzzy concept instances; fuzzy ontology language; inferential engine; membership degrees; query answering; Data processing; Data structures; Database languages; Engines; Fuzzy logic; Fuzzy sets; Information processing; Laboratories; Ontologies; Relational databases; Fuzzy ontologies; fuzzy databases; fuzzy inference; membership functions; querying fuzzy ontologies;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 2009. NAFIPS 2009. Annual Meeting of the North American

Conference_Location

Cincinnati, OH

Print_ISBN

978-1-4244-4575-2

Electronic_ISBN

978-1-4244-4577-6

Type

conf

DOI

10.1109/NAFIPS.2009.5156413

Filename

5156413