本文在传统检索方法的基础上，综合运用人工智能基于知识的理论和技术，提出一种文本概念检索方法。这种方法试图从自然语言中的概念及其相互关系出发，运用语义和统计相结合的方法及模糊知识处理方法抽取文本中的关键词，并使用模糊推理技术，在一定程度上实现对文献的理解，从而达到检索的目的。 Based on the traditional retrieval methods, this paper proposes a concept retrieval method based on the theory and technology of artificial intelligence based on knowledge. This method attempts to start from the concept of natural language and their interrelationships, using the combination of semantic and statistical methods and fuzzy knowledge processing method to extract the text of the key words, and the use of fuzzy reasoning technology, to some extent, to achieve the literature Understand, so as to achieve the purpose of the search.