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In order to achieve a fast and efficient retrieval of the campus information as well as a better user experience, this paper has constructed an ontology model based on campus, realized and optimized the semantic retrieval algorithm. Meanwhile, by calculating semantic similarity and semantic relevancy, and according to the hit rate of campus information and browsing history of users, the model makes a real-time distribution and adjustment of weights of search keywords to make the sorting of retrieved results more close to the attention and interest of users so as to meet the needs of college teachers and students when they do information retrieval.

The Optimization of Campus Information Semantic Retrieval Ordering Algorithm Based on Ontology