文本挖掘中的知识模式表示、评价及检索机制

Representation, Evaluation and Retrieval Mechanisms for Discovered Knowledge in Text Mining

在当前的文本挖掘中，缺乏检索机制，即使对于挖掘到的简单事实也很难被其他用户检索到，对于知识模式更难达到共享。因此应该建立知识模式库，对文本挖掘得到的知识模式采用统一的表示方式、统一的评价标准、统一的检索机制，让任何一种模式都能被对它感兴趣的用户检索到，进而加以利用。本文提出了一种知识模式的框架表示方法，对文本挖掘出的模式进行统一表示、存储，构建知识库，并对知识库中的模式进行内部和外部评价，利用语义相似及领域知识对知识库中的模式进行检索。

At present, due to lack of retrieval mechanisms, even simple facts are hard to be retrieved by other users. Knowledge sharing is more difficult to achieve. So it should establish a knowledge model, use unified representation model, unified evaluation standards, unified retrieval mechanism in the field of Text Mining, then any model can be retrieved and used by interested users, This paper presents a model of knowledge which is based on frameworks, by which represent and store the discovered knowledge in a knowledge base, and evaluate the discovered knowledge in internal and external. Semantic similarity and domain knowledge are used in retrieval of the knowledge.