%0 Journal Article
%T Content analysis method used for ontology ranking<br>一种用于本体排序的内容分析方法*
%A XU De-zhi
%A LIU Yi-jing
%A <br>徐德智
%A 刘怡静
%J 计算机应用研究
%D 2010
%I 
%X The ontology ranking result was not precise enough using traditional method. Aiming at this problem, this paper proposed a new content analysis method. First, obtained the topic similarity according to the keywords set which was extracted by constructing the ontology conceptual model. Second, got the context relatedness through analyzing the ontology context. Finally, combined the topic similarity and context relatedness to calculate the ranking value which was used to order the related ontologies. The experimental result shows that the method can improve the precision of the ontology ranking result.
%K ontology ranking
%K topic similarity
%K context relatedness<br>本体排序
%K 主题相似度
%K 上下文相关度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=F50592AFCF7EC2802D089283E46F9D83&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=92E8E2714FC49B30&eid=3C7AE620D10CC1FC&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=7