%0 Journal Article
%T Combining Local Scoring and Global Aggregation to Rank Entities for Deep Web Queries
%A Yue Kou
%A De-Rong Shen
%A Ge Yu
%A Tie-Zheng Nie
%A <br>Yue
%A Kou
%J 计算机科学技术学报
%D 2009
%I 
%X With the rapid growth of Web databases,it is necessary to extract and integrate large-scale data available in Deep Web automatically.But current Web search engines conduct page-level ranking,which are becoming inadequate for entity-oriented vertical search.In this paper,we present an entity-level ranking mechanism called LG-ERM for Deep Web queries based on local scoring and global aggregation.Unlike traditional approaches,LG-ERM considers more rank influencing factors including the uncertainty of entity ex...
%K Deep Web
%K entity-level ranking
%K local scoring
%K global aggregation<br>红边
%K 学习
%K 实现
%K 查询
%K 祖甲
%K 论文
%K 经丝
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=2206DE3FC5D959CBFDD4A97412A54E6B&yid=DE12191FBD62783C&vid=B91E8C6D6FE990DB&iid=E158A972A605785F&sid=C824C8F9F54AE9B9&eid=826ED638BDB6F0D0&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=1&reference_num=24