期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：3
页码：863-867
语种：English
出版社：Ayushmaan Technologies
摘要：Structured knowledge discovery from deep web pages is an important research concept today for more crawler based search engines like Yahoo and Google. Previous data extraction mechanisms have their own inherent limitations, because they are web page programming language dependent precisely HTML dependent. In this paper knowledge discovery from Deep Web is implemented by using visual wrappers which are web page programming language independent approaches. This methodology utilizes the visual feature based wrappers for knowledge discovery include structured data boundary extraction(SDBE) and structured data item extraction (SDIE).Experiments show that our approach have more precision and recall values than earlier systems like DEPTA, IEPAD, Road Runner which are web page programming language dependent approaches.
关键词：Web Mining;Web Data Extraction;Visual Wrappers of Deep Web Pages
