基于本体的语义信息检索模型研究  

Research on Semantic Information Retrieval Model Based on Ontology

作　　者：赵彦锋[1] 周晓红[2] 

机构地区：[1]西安财经学院科研处,陕西西安710100 [2]西安财经学院人事处,陕西西安710100

出　　处：《软件工程师》2015年第8期6-9,共4页Software Engineer

基　　金：陕西省教育厅2013年科学研究项目计划项目(自然科学专项);项目编号:2013JK1192

摘　　要：为了弥补传统检索模型基于关键词匹配的缺陷,探讨领域本体的语义信息检索模型。阐述了四元组本体内涵,给出了资源映射方案,制定了本体概念扩展策略,描述了本体概念相似度计算算法,并进行了实验对比分析。结果表明:本体语义检索模型查准率及查全率均高于传统检索模型,具有一定的理论及实用价值。Aimed at the defects of the traditional keyword-based retrieval model,an ontology-based semantic queryoriented information retrieval model was built.Concept of four tuple ontology was defined,the resource mapping scheme was given,ontology concept expansion strategy was formulated, the concept similarity computing algorithm of ontology was described,and the experimental comparison was carried out.The results show that precision and recall rate of ontology semantic retrieval model are higher than the traditional retrieval model,this study has some theoretical and practical value.

关 键 词：本体 语义 相似度 信息检索 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]