国家农业科学数据中心站内搜索引擎技术研究

Research on the Technology of Search Engineer in the National Agricultural Scientific Data Center

为了解决原有检索技术已经不能满足国家农业科学数据中心检索需求的问题,研究了Lucene这种开源全文检索工具包的原理及使用方法,探讨了利用Lucene工具包在国家农业科学数据中心站内构建海量数据搜索引擎的方法,并在农业科学数据中心网站中选取3个有代表性的大、中、小型数据库,依照上述方法建立了基于Lucene工具包的搜索引擎,以此为基础进行不同大小数据库搜索效率对比实验,最后,将实验结果与传统的数据检索方法在相应数据库搜索时所得到的结果相比较。实验结果表明,基于Lucene的搜索引擎在检索效率上明显占优,实际应用效果也是令人满意的。

The aim was to solve the problem,which the traditional search method couldn’t meet the searching demand in the national agricultural scientific data center.The original method of website search engine was summarized,and the open-source Lucene search engine＇s principle and using method were studied.The means for building the full-text search engineer in the agricultural scientific data center was discussed.Three representative databases were also selected：the large one,the medium one and the small one,in the agricultural scientific data center and carried on comparative experiments for search efficiency with them.At last,these results were compared with those consequences from traditional search method.The experiments proved that：the search engineer based on Lucene had more efficient and the practical application should be satisfactory.