%0 Journal Article
%T E-Government document retrieval based on semantic Web<br>基于语义网的电子政务文档智能检索
%A YANG Fang
%A YANG Zhen-shan
%A <br>杨芳
%A 杨振山
%J 计算机应用
%D 2005
%I 
%X According to the E-Government documents characters, the weight of the terms in documents and queries were calculated based on E-Government thesaurus. Similarity between query and documents was obtained through computing the similarity between weigh terms of documents and query, and most matching documents were provided. At the same time E- Government document metadata is organized in semantic web. E-Government document can also be retrieved as searching for metadata in semantic web, The documents retrieved is approached in semantic web with metadata to benefit logic reasoning.
%K E-Government document
%K retrieval
%K semantic web
%K metadata<br>电子政务文档
%K 检索
%K 语义网
%K 元数据
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=0EF59C0A02A880BB&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=F3090AE9B60B7ED1&sid=E577404EAE1FC565&eid=2B7B7A6D4D8D437A&journal_id=1001-9081&journal_name=计算机应用&referenced_num=7&reference_num=6