农业知识库检索排序算法研究  

Study on Sort Algorithm of Agricultural Knowledge Base Searching

作　　者：王玉娟[1] 方逵[1] 罗武[1] 

机构地区：[1]湖南农业大学信息科学与技术学院,长沙410128

出　　处：《农机化研究》2012年第9期24-27,共4页Journal of Agricultural Mechanization Research

基　　金：国家"十二五"科技支撑计划项目(2011BAD21B03);湖南省科技重大专项(2010FJ1006);湖南省科技重点项目(2009NK4038)

摘　　要：在文本检索过程中,排序算法一定程度上影响到搜索引擎的质量。为此,以农业知识库为基础,通过对目前主流检索排序算法的优劣性进行研究和比较,设计了向量空间模型建模的排序算法、归一化计算排序算法以及仿lucene打分计算方法,并将3种算法与开源框架lucene进行比较测试。新算法在农业知识检索的查准率上有较大的提高。In the process of text retrieval,the sort algorithm affects the quality of search engine to a certain extent.This paper,which based on the agricultural knowledge base,we have studied and compared of the current mainstream sorting algorithms,and designed out sorting algorithms of the vector space modeling,the normalized calculation and simulation lucene score calculation method,and three algorithms were tested and compared with the open source framework lucene,the new algorithm have greatly improved in the agricultural knowledge retrieval precision rate.

关 键 词：农业知识库 检索模型 排序算法 查准率 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]