%0 Journal Article
%T Deep Web result pattern extracting based on heuristic information<br>基于启发式信息的Deep Web结果模式获取方法*
%A LI Ming
%A LI Xiu-lan
%A <br>李明
%A 李秀兰
%J 计算机应用研究
%D 2011
%I 
%X Extracting schema information is the necessary step in the Deep Web data research, to address the loss problem of Deep Web result schema information, this paper proposed a novel approach Deep Web result pattern extracting based on heuristic information. Through analyzing Deep Web result page data and adding correct attribute names to result pages data by heuristic information, it obtained the corresponding of Deep Web result pattern. Moreover, it solved the structure conflict by standardized treatment. Experimental results show that the method can effectively extract result pattern.
%K Deep Web
%K result schema
%K feature matrix of Web page data
%K heuristic information<br>Deep
%K Web
%K 结果模式
%K 网页数据特征矩阵
%K 启发式信息
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=F32C7DEF351C88CC9E59B6768FC9E41B&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=5D311CA918CA9A03&sid=F5E918FB1DCFB1A1&eid=8C9BD208C716E59D&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10