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为弥补改进传统Web文本挖掘方法缺乏对文本语义理解的不足,采用本体与Web文本挖掘相结合的方法,探讨基于领域本体的Web文本挖掘方法。首先创建Web文本的本体结构,然后引入领域本体“概念-概念”相似度矩阵,并就概念间关系识别进行描述,最后给出Web文本挖掘的实现方法,发现Web文本信息的内涵。实验中以网络媒体报道为例,通过文本挖掘得出相关结论。
In order to make up for the lack of improvement of traditional Web text mining methods, this paper uses a combination of ontology and Web text mining to explore the method of Web text mining based on domain ontology. First of all, we create the ontology structure of Web texts and then introduce domain ontology “concept - concept ” similarity matrix and describe the relationship between concepts. Finally, we present the method of Web text mining and find the connotation of Web text information. In the experiment, taking network media as an example, we draw relevant conclusions through text mining.