为了改善传统全文检索方法在检索效率上的不足,结合Lucene构建了一个全文检索系统模型。介绍了全文检索的基本过程、Lucene源码结构和逻辑结构,分析了Lucene的索引组成,对比了Lucene全文检索和其它全文检索的区别。该模型可用于中小型的全文检索系统的实现,同时可基于此模型开发定制个性化的搜索引擎。最后通过实验对比了其与传统检索方式的响应时间,利用Lucene的全文检索具有更快的响应速度。
In order to improve the efficiency in traditional method of retrieval, propose a system model for full text search based on Lucene. First introduced the general process of full - text search, Lucene code structure and logical structure, compared to the differences between Lucene full - text search and other full- text search. This modal can be used for small and medium - sized full - text retrieval system and can be used to develop the personalized search engine. Finally, through experiments with the traditional retrieval methods, based on Lucene full - text search has a faster response speed.