Application of Fuzzy Ontology Framework to Information Retrieval for SCM
Jun Zhai, Qinglian Wang, Miao Lv · 2008
Information retrieval is the important work of Supply Chain Management (SCM) on the Semantic Web. Ontology-based semantic retrieval is a hotspot of current research. In order to achieve fuzzy semantic retrieval, this paper applies a fuzzy ontology framework to information retrieval system in SCM. The framework includes three parts: concepts, properties of concepts and values of properties, in which propertypsilas value can be either standard data type or linguistic values of fuzzy concepts. The semantic query expansion is constructed by order relation, equivalence relation and inclusion relation between fuzzy concepts defined in fuzzy linguistic variable ontologies. The application to retrieve customer and product information in supply chain shows that the framework can overcome the localization of other fuzzy ontology models, and this research facilitates the semantic retrieval of information through fuzzy concepts on the Semantic Web.