【摘要】 随着Internet的不断发展,现已成为全球最大的共享信息基地,与此同时,如何准确地从中检索出用户所需要的信息也已成为研究的热点,并开发出了很多信息检索系统,但传统的基于关键词的检索系统,其查准率和查全率都有待提高,鉴于此,文章提出了一种基于概念的信息检索系统模型,给出了它的理论模型和工作机制,其核心技术是自然语言处理,在其内部,查询和索引都是建立在语义层次上的,因而有较好的查全率与查准率。文章最后,对其发展方向作了展望,希望对致力于信息检索研究的同行们有所启发。更多还原

【Abstract】 With sustaining development of Internet,it has become the biggest information database shared in the World.At present ,what how to find accurately information which are demanded has become a hot research domain,and many information retrieval systems has been developed,but for conventional keyword-based information retrieval systems ,their recall and precision need be improved.In view of this,a model of a concept-based information retrieval system is put forward in the paper,and its modal of theory and principle of work are clarified.Its nuclear technology is natural lan-guage processing,query and index are both based on semantic analysis,therefore,it is very efficient about recall and precision.At the end of the paper,its developing direction is forecasted.更多还原