In order to effectively solve the data correction

elimination and integration problems for Deep Web database

make the Deep Web database entity query performance with optimization

the database entity recognition intelligent semantic query method based on autocorrelation characteristics was proposed.The query model consisted of text matching model

semantic correlation characteristic analysis model and the statistical model

and semantic correlation feature extraction algorithm was proposed.The semantic information constraint rule was defined for optimal approximation database entity recognition results.The semantic correlation characteristics were used to establish the surface correlation knowledge base

the correction

elimination

integration was realized in the data query.The mathematical derivation proves that the stability of the algorithm

and simulation results show that algorithm can consider

text feature

semantic correlation feature and constraint rules

the accuracy and completeness of data query increased significantly and effectively.