%0 Journal Article
%T Study on Text Clustering Algorithm Based on Similarity Measurement of Ontology<br>一种基于本体相似度计算的文本聚类算法研究
%A WANG Gang
%A ZHONG Guo-xiang
%A <br>王刚
%A 钟国祥
%J 计算机科学
%D 2010
%I 
%X To improve the quality of text clustering and get the satisfactory clustering results,we proposed a text clustering based on similarity of ontology. I3y organizing text as ontology, we were easy to represent the meanings and relalions of concepts. We designed and improved the measurement of similarity and measured the text similarity by similarity of text ontology, we designed the algorithm of text clustering based on similarity. Experiments show that our method can avoid using the term isolation and high-dimensional, and can improve the clustering quality in correction degree and association degree.
%K Ontology
%K Similarity
%K Text clustering
%K Semantic<br>本体
%K 相似度
%K 文本聚类
%K 语义
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=626B421DCBD6BC41B93BEE8C1C909602&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=9CF7A0430CBB2DFD&sid=8B59EA573021D671&eid=A1266CF37D675CF1&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=11