Research And Application Of Information Retrieval Method Based On Semantics

The purpose of information retrieval is to find the information which meets the user's demands from huge data. There're many demands about retrieval information from huge data in the internet applications, which distribute in various projects and resulted in a large number of redundant works. While because of the limitations of traditional relational database, retrieval information with it will result in some problems such as low efficiency, low recall rate and low precision.To solve the problems mentioned above, this paper deeply analyzes the latest literature and research first, then presents a configurable information index method based Semantic Ontology, which analyzes the components, attribute constraint of index structure and summarizes the composition and adaptive adjustment process of the distributed architecture, then establish a semantic ontology model of index structure and distributed architecture with ontology technology. And in order to improve the recall rate and precision rate of information retrieval, this paper summarizes the query expansion method based on user behavior and word frequency, then design a architecture of query expansion based on Web Semantics. By extrapolating rules the ontology model of index structure and distributed architecture established, the results show the high degree of configurability and scalability of this method. Finally the experiment and analysis of the query expansion method based on Web Semantic with query logs and semantic corpus shared by Sogou search engine shows the good performance of the method about the query expansion, the expansion and accuracy of the retrieval results.