%0 Journal Article
%T Document vector space model construction based on domain ontology<br>基于领域本体的文档向量空间模型构建
%A HAO Wen-ning
%A FENG Bo
%A CHEN Gang
%A JIN Da-wei
%A ZHAO Shui-ning
%A <br>郝文宁
%A 冯　波
%A 陈　刚
%A 靳大尉
%A 赵水宁
%J 计算机应用研究
%D 2013
%I 
%X As VSM couldn't reveal the same conceptual semantics hidden in different feature words and the latent semantic relations in the documents and had a low accuracy in document similarity calculation, this paper presented DOBVSM. This model added the conceptions in domain ontology to the feature word set, and then adjusted the weight of feature words using the relation between conceptions, constructed the document DOBVSM contains semantic relations. Experimental analysis show that the documents'similarity computed by DOBVSM was more divergent, closest to the expert evaluation and can perform batter in document similarity.
%K domain ontology
%K VSM model
%K similarity
%K semantic relation
%K DOBVSM<br>领域本体
%K 向量空间模型
%K 相似度
%K 语义关系
%K 基于领域本体向量空间模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=57319E4289F4438FD9B2DDA4669CC8C8&yid=FF7AA908D58E97FA&vid=340AC2BF8E7AB4FD&iid=38B194292C032A66&sid=231F9A307C169827&eid=70081086C74F4110&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=15