Research Article
Research on Database Language Query Method Based on Cloud Computing Platform
@INPROCEEDINGS{10.1007/978-3-031-50577-5_20, author={Shao Gong and Caofang Long and Weijia Jin}, title={Research on Database Language Query Method Based on Cloud Computing Platform}, proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part III}, proceedings_a={ICMTEL PART 3}, year={2024}, month={2}, keywords={Cloud Computing Platform Database Language Query Semantic Level Potential Association Dimension Model}, doi={10.1007/978-3-031-50577-5_20} }- Shao Gong
Caofang Long
Weijia Jin
Year: 2024
Research on Database Language Query Method Based on Cloud Computing Platform
ICMTEL PART 3
Springer
DOI: 10.1007/978-3-031-50577-5_20
Abstract
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.
