节点文献
隐蔽网络信息的提取与集成
Extraction and Integration of Information in Deep Web
【摘要】 互联网上有大量信息隐藏在网络数据库中,其规模庞大且更新速度快,传统数据集成方法不适应集成这些信息。介绍了隐藏网络的观察结果和特点,给出了改进的观察方法。介绍了隐蔽网络信息集成的模型,分析了目前界面提取、模板匹配、结果组合技术的特点和不足,并提出了相应的改进方法。
【Abstract】 A lot of information is hidden in database of deep Web.As it has vast volume and grow rapidly,the conventional approach of data integrating is not suitable for integrating it.This paper introduces the observations and presents the improved observations methods.It describes the model of information integration in deep web,and analyzes the advantage and disadvantages of the existed approaches in interface extraction,schema matching and result compilation,and presents the corresponding improved approaches.
【关键词】 隐蔽网络;
信息集成;
界面提取;
模板匹配;
【Key words】 hidden web; information integration; interface extraction; schema matching;
【Key words】 hidden web; information integration; interface extraction; schema matching;
- 【文献出处】 河池学院学报(自然科学版) ,Journal of Hechi University , 编辑部邮箱 ,2006年05期
- 【分类号】TP311.13
- 【下载频次】144