On Storing Ontologies including Fuzzy Datatypes in Relational Databases

Abstract

This work deals with the need for managing large amounts of fuzzy data in the context of the Semantic Web. A schema to store ontologies with fuzzy datatypes into a database is presented as part of a framework designed to perform tasks of fuzzy information extraction and publishing. The database schema allows the storage of an ontology along with its instances preserving all information. Ontology and instances are stored in different schemas in order to improve the access to instances while retaining the capacity of reasoning over the ontology. This sets the foundations of a research opportunity on the definition of a ontology reasoner over these structures. The paper also presents a brief description of the framework on which the database is included, and the structures conforming the storage schema proposed.