Research on Chinese Information Retrieval Based on a Hybrid Language Modeling

For information retrieval, users hope to acquire more relevant information from the top indexing documents. In this paper, a combination of ontology with statistical method is presented to retrieval initial document set and improves the precision of top N ranking documents by re-ranking document set. The experiment with NTCIR-3 Chinese CLIR dataset shows the proposed method improved the precision of information retrieval