一种数据处理方法及车辆
By performing semantic recognition, terminology dictionary matching, and knowledge base retrieval in the software system, the problem of natural language instructions not being automatically mapped to target functions in heterogeneous software systems is solved, realizing intelligent processing from natural language input to software function calls, and improving the efficiency and accuracy of function calls.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GREAT WALL MOTOR CO LTD
- Filing Date
- 2026-06-08
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, there is a lack of unified semantic understanding interfaces and module state awareness mechanisms between heterogeneous software systems and between different modules of the same system. As a result, the natural language commands input by users cannot be automatically parsed and mapped to the target function, the system cannot perceive the module matching status, and the human-computer interaction process heavily relies on manual intervention.
By acquiring user input data, performing semantic recognition, terminology dictionary matching, and knowledge base retrieval, the target software function is identified and compared with the current operating module to generate the corresponding functional entity, thus realizing intelligent processing of the entire process from natural language input to software function call.
It realizes an automated mapping link from natural language input to software function call, which reduces the learning cost and operation time of software use, improves the efficiency and accuracy of function call, and reduces human intervention.
Smart Images
Figure CN122412596A_ABST