基于本体的语义检索系统的设计

因特网上现有的各种检索方法都是基于关键词的,而关键词检索的弊端就是它的低查全率和低准确率。在对比现有检索技术与语义检索技术之后,着重介绍了语义Web、本体以及相关的工具如Protégé、Jena以及SPARQL查询语言等,构建了一个花卉文献本体,开发出基于该本体的语义检索系统。该系统比较了传统检索与语义检索2种方式,验证了语义检索技术的优势所在,提供了简单的推理功能,可以对关于花卉的一些语句进行推理验证。

Semantic Retrieval System Design Based on Ontology

Currently, various searches in business websites on the Internet are based on the keyword search. It is widely known that the keyword search has its drawbacks--the low recall rate and low precision rate. With a comparative study between the traditional search technology and the semantic one, it is essential for the system that the Semantic Web, ontology and some related tools such as the Protege, the Jena and the SPARQL. With them, the ontology of flower essays and a semantic retrieval system have been established. In this retrieval system, the user can experience the advantages of the semantic retrieve by searching flower essays in both ways： the traditional one and the semantic one. It is also provided in this system that the simple reasoning function which can judge some statements about flowers.