Modeling a personal profile by Fuzzy Ontology Map and its applications
Toby H. W. Lam, James N.K. Liu · 2008
Current ontology markup language, such as Resource Description Framework (RDF) and Web Ontology Language (OWL), supports modeling information with hard semantics. However, it is not possible for us to represent some uncertain information by using these standard modeling languages. We proposed an extension called Fuzzy Ontology Map (FOM) which can be used to extend the current crisp ontology representations to model uncertain information. FOM was developed with strong mathematical basis. It is based on fuzzy theory and graph theory. In this paper, we presented the details about this fuzzy extension. In addition, we also showed how to adopt FOM for storing the personal profile information. This profile can provide enhanced functionalities for applications such as information filtering and personalization. At the end of this paper, we also presented an example application, CompBook, to show the idea how FOM profile works.