隐含语义索引在吉林省农业知识问答系统中的应用  

Application of Latent Semantic Index in Agricultural Knowledge Question Answering System of Jilin Province

作　　者：肖艳华[1] 王青蓝[1] 毕业莉[1] 万发仁[1] 

机构地区：[1]吉林省农业科学院农业经济与信息服务中心,长春130124

出　　处：《湖北农业科学》2011年第13期2740-2742,共3页Hubei Agricultural Sciences

基　　金：国家科技部计划基金资助项目(2006AA10A309);吉林省科技厅科技引导项目(20100831)

摘　　要：为了解决现有农业知识问答系统功能及业务流程中存在的一些问题,将隐含语义索引技术应用于吉林省农业知识问答系统中。该技术可以增强或消减词语在文档中语义的影响力,使文档之间的语义关系更为明晰,在一定程度上实现了自然语言检索,消除了词语同义性和多义性所造成的影响,从而取得更好的检索效果。The latent semantic index technology was applied to solve some problems with the existing function and in the professional process in agricultural knowledge question answering system.This technology could enhance or reduce the influence of words on the semantic in the document and it also could make the semantic relationships more clear,thereby realized the natural language search to a certain extent.The interference from identity and poly semantics was eliminated and better search results obtained.

关 键 词：隐含语义索引 吉林省 农业知识 问答系统 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]