In Semantic Web, descriptive markup languages, such as Resource Description Framework (RDF) and Ontology Web Language (OWL), were proposed to model the web content in a machine-readable way. Since these ontology markup languages deals with hard semantics in the description and manipulation of crisp data. It is not able to represent uncertain information. The work described in this paper is about developing an extension of the current ontology representation which supports uncertain information modeling. The extension is called Fuzzy Ontology Map (FOM) which is based on fuzzy theory and graph theory. FOM is a connection matrix which collects the membership value between classes in the ontology. We define a set of algorithms for inferring fuzzy relationship in the FOM.