Ontology’s Fuzzy Relations Modeling and Extracting Hidden Fuzzy Relations in OWL Fuzzy Improvement

Semantic web uses ontology punctuation languages such as Resource Description Framework (RDF) and Web Ontology Language (OWL) for modeling the web content in way that’s legible and readable for the machine. By supporting OWL, All users and systems can communicate through exchanging or uniting data on the web. But OWL employs plain and clear concepts to describe information and data. Therefore modeling and representing as method that’s supported by the present verbal structure of the OWL isn’t sufficient for working with vague information that is found in many applied scopes. Here the discussed problem is how to model and represent the inexplicit phase of data and knowledge in OWL. This essay represents the ontology’s fuzzy relationships modeling regard to the theory of the fuzzy sets and the matrix of the fuzzy relations in the fuzzy development of the OWL, by adding the fuzzy membership value to the given ontology's entities and relations. Also some algorithms are studied in order to extract the hidden fuzzy relations between ontology concepts. At the same time saving these new relations with fuzzy OWL syntax in the RDF/XML database is studied too

Keywords:

Semantic web , Ontology , Fuzzy ontology , Web ontology language , Fuzzy sets