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.