摘要
提出了一种基于中医药语义本体知识库对中医药文献进行语义关系图发现的方法。核心方法分为三个部分:第一步采用中医药语义本体概念名称为字典进行关键词提取;第二步采用关联算法的一种变异算法查找高频关键词组;第三步利用中医药语义本体知识库对关键词组进行语义关系识别,对未能识别的关键词进行语义关系预测。最后每组关键词生成一个对应的语义关系图。实验部分将利用中医药语义本体知识库对中医药文献进行语义关系图的发现,验证提出的算法。
This paper proposed an ontology based TCM semantic graph discovery of TCM Document.The core method includes three procedures.Firstly,extract from the TCM documents,using the TCM ontology concept name as dictionary.Secondly calculate the frequency of the keywords.Thirdly,identify the semantic relation between the keywords with the TCM 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.
出处
《计算机科学》
CSCD
北大核心
2011年第3期213-217,251,共6页
Computer Science
基金
NSFC61070156
2009QNA5025
2010QNA5044资助
