摘要
近几年,对Deep Web的研究和实践,尤其在商业领域已经有了一定实质性的成果。但在对网络数据库内容获取上仍处于起步阶段。就Deep Web数据库内容的获取展开研究,设计一种属性值图的方法,从图形角度对数据库内容遍历,最终获取DeepWeb内容。通过实验验证,证明该方法能有效地获取的大量Deep Web内容,用户可通过搜索引擎更方便快捷地查找,大大提高了索引的覆盖率和效率。
In recent years the research and practice on Deep Web have achieved substantial outcomes to a certain extent, especially in business field. However the content acquisition of website database is still in its start stage. This paper introduces the studies on acquisition of Deep Web database content by designing an approach of ＂attribute value＂ graph according to graph＇s characteristics. It attains Deep Web content after traversing the database content from graphic angle. The experiments verified that this approach can obtain mass Deep Web contents efficiently, and users can search through search engines more quickly and conveniently, the coverage rate and efficiency of the indices can be largely increased as well.
出处
《计算机应用与软件》
CSCD
北大核心
2008年第6期60-62,共3页
Computer Applications and Software
基金
江苏省高技术研究项目(BG2005019)
教育部高校博士点科研基金项目(20040285016)
教育部科研重点项目(205059)
