%0 Journal Article
%T Ontoloy Relationship Extraction Research Based on HowNet and Term Relevancy Degree<br>基于知网和术语相关度的本体关系抽取研究*
%A Fu JibinLiu JieJia KeliangMao Jintao
%A <br>傅继彬刘杰
%A 贾可亮
%A 毛金涛
%J 现代图书情报技术
%D 2008
%I 
%X The paper proposes a relationship extraction method based on HowNet and term relevancy degree.Firstly syntax parsing tools are used to extract context feature of terms,and natural language feature and statistical mutual information measure are integrated to compute relevancy degree of terms,then dynamic role and sememe are used as key to seek the relationship in HowNet semantic relationship framework,and explicit semantic lable is designated to the relationship.Experimental results show that the approach is effective.
%K Relationship extraction Ontology learning HowNet NLP<br>关系抽取
%K 本体学习
%K 知网
%K 自然语言处理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=E46382710BF131B2&jid=24AADBCD0D5373C73F37F78D10E2F717&aid=4F6D7BAA233C451D955252E661C8484B&yid=67289AFF6305E306&vid=B91E8C6D6FE990DB&iid=9CF7A0430CBB2DFD&sid=933658645952ED9F&eid=1371F55DA51B6E64&journal_id=1003-3513&journal_name=现代图书情报技术&referenced_num=1&reference_num=10