基于领域本体的Deep Web内容获取技术研究

摘要

为了用户方便快速地使用Deep Web中的信息,对在线数据库中的内容进行获取是一种行之有效的方法.本文设计了一种基于领域本体的Deep Web数据库内容获取技术,利用训练数据库训练构建领域本体,通过领域本体中的有效查询项获得查询关键字集,对数据库内容进行查询,最终获得Deep Web内容.通过实验证明,该方法能育效地获取Deep Web中的大部分内容,用户可以通过搜索引擎更快更方便地查询DeepWeb中的信息.%To expediently and fast utilize the information of Deep Web, content acquisition of website databases is an effective method. This paper introduces the research on acquisition of Deep Web content based on domain-Ontology. Using training database to train the domain-Ontology construction ,it obtains Deep Web content after querying database by keywords through the effectible concept of domain-Ontology to obtain query keywords. The experiments verify that this method can obtain most of Deep Web content effectively,and users can more expediently and faster utilize the information of Deep Web through search engines.