%0 Journal Article
%T Semantic Graph Discovery of TCM Documents<br>中医药文献语义关系图发现
%A TAO Jin-huo
%A CHEN Hua-jun
%A HU Xue-qin
%A <br>陶金火
%A 陈华钧
%A 胡雪琴
%J 计算机科学
%D 2011
%I 
%X This paper proposed an ontology based TC;M semantic graph discovery of TCM Document, The core method includes three procedures. Firstly, extract keywords from the TCM documents, using the TCM ontology concept name as dictionary. Secondly calculate the frequency of the keywords. hhirdly, identify the semantic relation between the keywords with the TC;M ontology knowledge base. Furthermore, predict the semantic relation that can' t be identified.Therefore, every group of keywords could generate a semantic graph that express the possible semantic of the original sentence. In the experiment section, the TCM ontology knowledge base was used to identify the semantic graph from TCM Documents,and verify the feasibility of the method of this paper.
%K TCM ontology
%K Semantic graph<br>中医药语义本体，语义关系图
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=2E24E7DBFC4F9F734B9CB34601ECAB37&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=38B194292C032A66&sid=527AEE9F3446633A&eid=CFF6EC0AFCF1C724&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=10