%0 Journal Article
%T Novel Mining Implicit Text Fra}nent from Abstract Scheme<br>一种摘要中隐含的知识片段的挖掘方案
%A 戴璐
%A 丁立新
%A 薛兵
%J 计算机科学
%D 2013
%I 
%X This paper extracted high-frequency keywords appearing in the literature, then positioned the abstract through inverted index, mined the fixed semantic phrases with keywords in the abstract, and tracked the dynamic chan- ges phrases in recent years by text bibliometric. 13y using the related affect matrix to establish associated network, the association between the semantic phrases was analysed and figured out. The experimental results show that the litera- lure summary implicit knowledge fragments can better reflect the trends of disciplines.
%K Inverted index
%K Next bibliometric
%K Related affect matrix
%K Social network analysis<br>倒排索弓}，文本计量，关联影响度矩阵，社会网络分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=D8CF0D2A1D9D336154034D9638584EA7&yid=FF7AA908D58E97FA&vid=1371F55DA51B6E64&iid=0B39A22176CE99FB&sid=AD16A18DBD734D13&eid=78F0EFE028BD3783&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0