%0 Journal Article
%T Subject-related information collection method based on domain Ontology<br>基于领域本体的主题信息采集方法
%A ZHENG Guo-liang
%A YE Fei-yue
%A LIN Guo-jun
%A GENG DongSchool of Computer Engineering
%A Science
%A Shanghai University
%A Shanghai
%A China
%A <br>郑国良
%A 叶飞跃
%A 林国俊
%A 耿冬
%J 计算机应用
%D 2008
%I 
%X Vector Space Model (VSM) based on the keywords is a traditional related information collection method, which is commonly used in the professional search engine. It takes account of the weight of keywords and keywords' frequency in the web page to collect the subject-related pages. The method of ontology-based information collection no longer reflects the frequency of the term in a simple way, and it strengthens the page of the semantic relationships between terms, thereby it overcomes polysemy, synonyms and dependence on the word existing in the traditional vector space model. The result of the experiment, compared with the method based on keyword, further demonstrates the feasibility of the method based on Ontology.
%K subject relation
%K domain ontology
%K vector space module
%K subject-related analysis
%K word frequency<br>主题相关度
%K 领域本体
%K 向量空间模型
%K 相关度分析
%K 词频率
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=5F7C518E63EBBC6F663D4EC216C7375C&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=59906B3B2830C2C5&sid=514BA5EA97AFD236&eid=2429D43C297FC9C6&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=9