%0 Journal Article
%T Effective Approach to Deep Web Entries Identification<br>一种有效的深网入口识别方法
%A WU Chun-ming
%A XIE De-ti
%A <br>吴春明
%A 谢德体
%J 计算机科学
%D 2011
%I 
%X Automatic identification of deep Web entries is the basis of deep Web data integration. Owing to the subjec- tivity of form design,deep Web entries lack unified standard and it is difficult to judge whether the form is a deep Web entry by the definite rules. Based on the statistics, this paper first chose several form attributes as the defining features, which can distinguish searchable forms from non-searchable forms. Then, an entry identification algorithm was proposed by using neural network. Unlike previous approaches, neural network can be trained, which is very suitable for entry i- dentification of the deep Web. I}he experimental results show that our proposed algorithm can be an effective way in au- tomatic identification of the deep Web.
%K Deep Web cntrics
%K Ncural nctwork
%K Fcaturc cxtraction
%K Machinc learning<br>深网入口，神经网络，特征抽取，机器学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=17DDCED190714E798F5779B7830DB9F3&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=F3090AE9B60B7ED1&sid=FCD27DC5E1F2EEE7&eid=BC084ACE66B62CC8&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0