基于本体的信息检索模型研究

将本体引入到信息检索领域突破了传统的基于关键字查询的局限性，为提高信息的查准率和查全率提供了契机。提出了一种基于本体的信息检索模型，模型中融入了知识库和经典的向量空间算法，在信息检索部分含有对关键字的处理，并对知识库中不舍有输入条件的情况作出了处理，即语义扩展。模型使得信息检索结构更加合理，提高了查询的效果。

Research on Ontology Based Information Retrieval Model

Lead ontology into field of information retrieval breakthrough limitation of retrieval based on keywords, and then provided foundation with improving precision and recall, we proposed ontology based information retrieval model, in this model, and we combined with KBs and classical vector-space algorithm. The part of information retrieval included solution for keywords, and we considered if it doesn＇t exist input condition ,we also offered another measure, namely semantic extending. This model is very reasonable to the structure of information retrieval, very important, it can increase the result of information retrieval.