Research on Database Language Query Method Based on Cloud Computing Platform

Some database language query methods have the problems of time cost and resource occupation. Under this background, a database language query method based on cloud computing platform is designed. Convert the formally described information into data that can be stored, extract the semantic Web hierarchy, and establish relationships with real objects, identify the potential association features of database words and sentences, restore the original orthogonal semantic structure space, build ontology annotation model based on cloud computing platform, transplant HanLP’s neural network dependency syntax analysis tool, and design language query methods. Test results: The average time cost and resource utilization of the database language query method designed this time are 1720 ms and 42.36% respectively, which shows that the database language query method designed this time is more effective under the technical support of the cloud computing platform.