基于语义的中文Deep Web查询接口集成

Semantic-based Chinese Deep Web Interface Integration

现在网上信息正越来越被在线数据库深化,而传统的搜索引擎对此类信息源却没有很好的获取办法,加剧了人们想得到有用知识而搜索结果并不理想的形势。本文针对这种情况,简要论述了中文Deep Web研究工作的必要性及其发展前景,探讨了中文Deep Web技术的关键问题,并基于中文语义,提出了中文Deep Web中的查询接口集成方案。实验表明该方法能使得接口之间属性匹配的正确率达到98%以上。

Nowadays the Web is being increasingly deepened by a large group of online database, while traditional search engines are not able to make good use of such kind of information, which deteriorates the situation that people want to get more and more valuable gold of knowledge but unfortunately with bad search results. In this paper, we firstly emphasize the research in Chinese Deep Web as well as discuss its key issues aiming at the problem raised above, and refer to interface integration scheme based on Chinese semantic information, with a series of experiment results in the end that show good performance of our scheme and reach a as high accuracy as 98%.