摘要
采用本体与文本文挖掘相结合的方法,提出了基于领域本体的文本挖掘模型。首先创建本体结构,引入本体的"概念-概念"相关度矩阵,利用基于本体概念的向量空间模型代替传统的向量空间模型来表示文档,并在此基础上进行文本挖掘。
The author discusses the text mining methods based on ontology and put forward text miningmodel based on domain ontology. Ontology structure is built at first and the＂concept-concept＂similaritymatrix is introduced, then a concept vector space model based on ontology is used to take the place of tra-ditional vector space model to represent the documents in order to realize text mining.
出处
《情报科学》
CSSCI
北大核心
2014年第12期129-132,137,共5页
Information Science
基金
公益性科研院所基本科研业务费专项资金(No.2012-J-08)
