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The use of ontologies for representing database schemas of fuzzy information
Author(s) -
Blanco Ignacio J.,
Vila M. Amparo,
MartinezCruz Carmen
Publication year - 2008
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.20274
Subject(s) - computer science , information retrieval , ontology , data mining , fuzzy logic , database schema , ontology based data integration , schema (genetic algorithms) , metadata , process ontology , upper ontology , database , database design , artificial intelligence , semantic web , world wide web , philosophy , epistemology
Abstract In this paper, an ontology system is proposed to represent the knowledge structure enabling fuzzy information to be stored in fuzzy databases. This proposal allows users or applications to simplify the metadata definition process that is necessary for representing and managing imprecise and classic information in these databases. This ontology then acts as an interface that formalizes the representation of such structures and allows access to them. The instances obtained from this ontology represent the schemas that describe domain information in a database. The description of fuzzy and classic database schemas allows access to online public databases for which no other semantic description is associated. This paper also presents another ontology to represent these schemas as instances. Not only does this ontology allow fuzzy data values to be stored (because of the definition of fuzzy data types as classes of the ontology) but it also enables schema tables and attributes to be defined. © 2008 Wiley Periodicals, Inc.