基于本体的检索方法在数字期刊中的应用研究

Research on Ontology-based Retrieval Method applied on the Digital Journal

基于关键词处理的传统检索技术会在检索过程中遗漏大量与检索概念相关或同义的内容。本文在本体基础上重点研究语义相似度算法及相应的语义扩展算法,在此基础上将模型应用于数字期刊的信息检索中,以提高查准率和查全率。

In the searching process with Semantic Search Technology Based on Keywords has come forth many problems like omitting much semantic related contents.This thesis attempts to analysis the search of ontology based semantic information retrieval,focusing on the algorithm of ontology-based semantic similarity.Finally,on the basis of theory analysis,design an experimental Semantic Retrieval System applied on digital magazine searching process.The ontology-based information retrieval system can improve information retrieval of the recall and precision.