Metadata Generation via User Context and Table Configuration
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Solution Overview
Problem
Existing methods for generating metadata in big data management are either inefficient and prone to errors (manual entry) or require significant user effort to maintain rules and keywords (rule-based automatic filling), leading to inconsistent and incomplete metadata.
Innovation Solution
A data generation method and apparatus that displays a data generation page, allows configuration operations for data table items, generates metadata based on constraint conditions including configuration and user information, and displays the metadata, thereby enabling personalized metadata generation without manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual entry method is used for metadata generation, then user can control metadata content, but efficiency is low and errors are prone
Solution Approach 1:
The system automatically generates metadata by extracting information from the data table structure and configuration items without requiring manual user input. The metadata generation module autonomously processes configuration information, user information, and data table properties to create metadata, eliminating the need for users to manually enter metadata while maintaining accuracy through structured extraction rules
Solution Approach 2:
The system collects and stores configuration information, user information, and data table properties in advance before metadata generation is needed. By pre-processing and organizing these elements, the system enables rapid metadata generation when required, improving efficiency without sacrificing accuracy
2Productivity
If rule-based automatic filling is used for metadata generation, then efficiency is improved, but user effort to maintain rules and keywords is significant
Solution Approach 1:
The system automatically adapts to user preferences and generates metadata that aligns with user expectations without requiring explicit rule definitions. By analyzing user information and configuration patterns, the system self-adjusts metadata generation strategies, eliminating the need for users to manually create and maintain complex rules and keyword lists
Solution Approach 2:
The system dynamically adjusts metadata generation parameters based on user information and configuration data. Instead of using fixed rules, the system modifies generation parameters in real-time according to the specific context, reducing the need for manual rule maintenance while maintaining high efficiency
3Productivity
If rule-based automatic filling is used for metadata generation, then efficiency is improved, but metadata consistency and completeness become inconsistent
Solution Approach 1:
The system uses a unified metadata generation module that handles all metadata generation tasks through a consistent process. This module integrates configuration information, user information, and data table properties into a single coherent framework, ensuring that all metadata is generated using the same standards and rules, thereby maintaining consistency across different metadata types and contexts
Solution Approach 2:
The system incorporates user information and configuration feedback into the metadata generation process. By continuously analyzing user preferences and configuration patterns, the system adjusts metadata generation to maintain consistency with user expectations and organizational standards, ensuring complete and consistent metadata across all data tables
Data Source
AI summary
A data generation method and apparatus, a medium, and an electronic device are provided. The method includes: displaying a data generation page of a data table; in response to a configuration operation for a configuration item of the data table in the data generation page, displaying configuration information corresponding to the configuration item; in response to a trigger operation for a generation control in the data generation page, generating metadata of the data table based on a constraint condition, in which the constraint condition comprises the configuration information and user information corresponding to a user who performs the configuration operation; and displaying the metadata in a display region for displaying the metadata in the data generation page.