Abstract: In the process of access to the database query, prone to data errors, repetition and dispersion problem, traditional methods for only support query accurately, cause the query precision is low, the efficiency is not high question, put forward a kind of based on the analysis of the semantic directivity database access query optimization design method, through semantic similarity describes semantic directivity, extensions for the calculation of semantic distance between words, the semantic distance between the words as two words in the semantic distance between any two meanings of the minimum value, on the basis of the degree of similarity between user query and the document description, query similarity query similarity as to calculate the semantic similarity between two documents. In semantic based on the analysis of the directivity, design of database access query optimization design model, detailed analysis of the main components of the model, using semantic information constraint rules, optimize the database access query results. The simulation results show that the proposed based on the analysis of the semantic directivity of database access query optimization design method of stable performance, has higher recall ratio and sorting accuracy.