%0 Journal Article
%T Study on Text Classification Model Based on SUMO and WordNet Ontology Integration<br>基于SUMO和WordNet本体集成的文本分类模型研究
%A Hu Zewen Wang Xiaoyue Bai Rujiang
%A <br>胡泽文
%A 王效岳
%A 白如江
%J 现代图书情报技术
%D 2011
%I 
%X Aiming at the existing problems in the traditional text classification methods and the current semantic classification methods, a new text classification model based on SUMO and WordNet Ontology integration is proposed. This model utilizes the mapping relations between WordNet synsets and SUMO Ontology concepts to map terms in document-words vector space into the corresponding concepts in Ontology, and forms document-concepts vector space to classify texts automatically. The experiment results show that the proposed method can greatly decrease the dimensionality of vector space and improve the text classification performance.
%K SUMO Ontology
%K WordNet
%K Ontology integration
%K Text classification model
%K Word vector space
%K Concept vector space<br>SUMO本体
%K WordNet
%K 本体集成
%K 文本分类模型
%K 词向量空间
%K 概念向量空间
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=E46382710BF131B2&jid=24AADBCD0D5373C73F37F78D10E2F717&aid=5704D2E38E2B920F77785457AA764335&yid=9377ED8094509821&vid=DB817633AA4F79B9&iid=CA4FD0336C81A37A&sid=4AD960B5AD2D111A&eid=16D8618C6164A3ED&journal_id=1003-3513&journal_name=现代图书情报技术&referenced_num=0&reference_num=0