A Meta-Ontology Approach for Representing and Processing Imprecise Knowledge in Ontologies

Cristiane A. YaguinumaMarilde T. P. SantosHeloisa A. Camargo

Ontologies have been employed in several applications regarding knowledge representation, aiming to represent data semantics and support reasoning tasks. However, traditional ontologies are less suitable to represent some domains that require the representation of vague or imprecise information, which often occurs in human language. In order to handle such restriction, it is necessary to extend ontologies by incorporating concepts from fuzzy set theory. In this context, this doctoral project aims to investigate the representation and processing of fuzzy ontologies, focusing on expressive fuzzy constructors and fuzzy reasoning methods. Therefore, applications can be benefited from the expressive representation and reasoning on vague information in ontologies.

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