基于Ontology的语义信息检索及应用

Semantic Information Retrieval and Application on Ontology-based

随着Internet的快速发展,网上的信息呈指数级增长,面对浩如烟海的信息源,人们迫切需要能够快速、准确、经济地查找某个主题全部信息的信息检索系统。但是目前传统的信息检索工具存在返回信息过多或漏检有用信息的现象,根本无法满足用户的检索要求。以本体为基石的语义网的出现,为实现信息检索提供了一种全新的方法,能够大大提高检索的查全率和查准率。

With the rapid development of Internet, the on - line information increases exponential, when people confront so huge of information, they eager to a kind of information retrieval system which can fast, accurately and economically discovery the certain topic information. However, traditional tool used can make useless information many or use information less, so it can＇t satisfy the desire of people. Semantic web on ontology - based provides a new guidance way for information retrieval, recall and precision can be improved greatly. In this paper, the present author analyses character and deficiency of the traditional method, introduces relative knowledge of semantic web and ontology, finally, discuss the key technique and present a application model in the digital library of semantic information retrieval.