The invention discloses a dialogue knowledge base question and answer implementation method. The method comprises the steps that 1, a fuzzy reasoning grammar system is defined in advance; 2, obtaining a current question to be answered and historical dialogue information, and obtaining vector representation through a GloVe model; step 3, obtaining a hidden state vector of the encoder; step 4, identifying the named entity and the type thereof from the feature representation; step 5, obtaining an entity ID in the knowledge base; step 6, obtaining a logic form of the problem under the current grammar framework; 7, predicting a relation ID and an entity type ID in the problem; 8, obtaining a query statement which can be executed on the knowledge base; and 9, executing the query statement in the knowledge base to obtain an answer corresponding to the current question. Compared with the prior art, the method has the advantages that the intention of the user question in the dialogue is automatically identified, the response accuracy in the dialogue is improved, the method is suitable for open domain knowledge graph question answering, and the user experience satisfaction can be improved.