Ontology-based semantic Information Retrieval for Enterprise Management Information System
this paper applies a fuzzy ontology framework to information retrieval system for enterprise management information system. The framework includes three parts: concepts, properties of concepts and values of properties, in which propertys value can be either standard data type or linguistic values, Le. 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 ontology. The application to retrieve project information shows that the framework can overcome the localization of other fuzzy ontologys models, and this research facilitates the semantic retrieval qf enterprise management information through fuzzy concepts on the Semantic Web.
Information retrieval ontology enterprise management information the Semantic Web
SHEN Jinxing
School of Computer Science Guangdong Polytechnic Normal University Guangzhou, 510665, china
国际会议
重庆
英文
409-412
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）