Method for realizing flow self-definition based on natural semantic conversion
A natural semantic and self-defined technology, applied in natural language data processing, semantic analysis, office automation, etc., can solve problems such as inability to reflect business logic intuitively, small audience, error-prone, etc., and achieve rapid adjustment of business logic, The effect of lowering maintenance threshold and improving accuracy
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Embodiment 1
[0029] Embodiment 1: market quotation = project cost * rate, generate market quotation ID;
Embodiment 2
[0030] Embodiment 2: cost price = item cost = market quotation / large total material PCS number, generate cost price ID;
Embodiment 3
[0031] Embodiment 3: the total working area={A panel length*A panel width*A panel PNL number+B panel length*B panel width*B panel PNL number} / 1000000 to generate the total work area ID;
[0032] S4: Analyze the natural language content: search, compare and replace the predefined business keywords on the natural language content of the embodiment in S3.
[0033] S5: Convert natural language into computer-recognizable / executable commands: the system automatically converts them into computer-recognizable and executable files or code segments, and the processes defined in natural language and converted processes are all stored in the business system.
[0034] Working principle: Defining business in natural language helps to give full play to the business capabilities of business personnel and improve the accuracy of business definition. Defining business in natural language helps to reduce the maintenance threshold of business definition (for non-computer professionals). Language ...
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