Ontology-Based Information Retrieval for University Scientific Research Management

Ontology-based semantic information retrieval is a hotspot of current research. In order to achieve fuzzy semantic retrieval for scientific research information in WWW, this paper applies a fuzzy ontology framework to information retrieval system for university scientific research management. The framework includes three parts: concepts, properties of concepts and values of properties, in which property's value can be either standard data type or linguistic values, i.e. fuzzy concepts. The fuzzy semantic query expansion is constructed by order relation, equivalence relation, inclusion relation and complement relation between fuzzy concepts defined in fuzzy linguistic variable ontologies. The application to retrieve project information shows that the framework can overcome the localization of other fuzzy ontology models, and this research facilitates the semantic retrieval of scientific research information through fuzzy concepts on the semantic Web.