基于Ontology的信息检索技术研究

Research of Ontology-based Information Retrieval

随着Web的迅速发展 ,网上信息资源越来越丰富 ,网络已经成为了一个全球最大的信息库。而用户要从中得到所需的信息一般是通过各种信息检索工具。但是现有的信息检索工具都存在着检索精度不高等问题。本文针对这些问题 ,提出了将Ontology融合到信息检索技术中的思路。利用Ontology中拥有的领域知识 ,可以大大提高检索系统对自然语言文本的理解能力 ,同时方便用户以自然语言的方式提出检索请求 ,从而提高检索的效果。

Along with the rapid development of Web, the information resources in the web are becoming more and more abundant. People get information from Web mainly by search tools, but always puzzled by the precision of them. To solving this problem, we adopted domain Ontology in our information retrieval system. By using of the domain knowledge in Ontology, retrieval system could improve semantic understanding of retrieved documents, and give the chance to user to put their information request in more nature way (more precise way). Experimental results show this method can increase the precision of information retrieval.