Experts Selection Service Based on Fuzzy Domain Ontology

To deal with the shortage of domain ontology to describe semantic based fuzzy knowledge, this paper presents a four-layered extended structure of the fuzzy ontology by using the advantages of fuzzy theory to deal with fuzzy information, so as to extend existing domain ontology. Fuzzy concepts, fuzzy properties and fuzzy memberships in fuzzy ontology are defined to realize the description of fuzzy knowledge of ontology by semantics. Using the four-layered extended structure, an expert fuzzy ontology in the domain of science and technology evaluation was built, and the expert selection algorithm based on fuzzy ontology was designed to realize expert selection service according to the fuzzy semantic information in selection requirements. The practical application results show that semantic expert selection service is able to select the appropriate experts efficiently and accurately.