Research of Information Retrieval Model Based on Semantic Web

An information retrieval model is proposed based on semantic Web.Model can be able to implement the Web information retrieval accurately and effectively,and overcome the limitations of traditional information retrieval.The basic concept of semantic Web,ontology and the full text retrieval technology of Lucene are introduce,then described the details of the six modules of our model,in which use the Jena querying and reasoning technology for query expansion on the basic of ontology,and establish the index using the Lucene,and improved the sorting algorithm to meet the users' need.