18048578. INTERACTIVELY EXTENDING MACHINE-LEARNING-GENERATED RULES AND RECOMMENDATIONS simplified abstract (SAP SE)
INTERACTIVELY EXTENDING MACHINE-LEARNING-GENERATED RULES AND RECOMMENDATIONS
Organization Name
Inventor(s)
Volker Driesen of Heidelberg (DE)
INTERACTIVELY EXTENDING MACHINE-LEARNING-GENERATED RULES AND RECOMMENDATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18048578 titled 'INTERACTIVELY EXTENDING MACHINE-LEARNING-GENERATED RULES AND RECOMMENDATIONS
Simplified Explanation: In a patent application, a rule user interface plug-in reads rules associated with a data object from a rules database and auto-populates and validates fields on a maintenance UI based on these rules. The plug-in also provides options for mitigating violations of the rules.
Key Features and Innovation:
- Rule user interface plug-in reads rules from a database for a data object.
- Auto-populates and validates fields on a maintenance UI based on these rules.
- Provides options for mitigating violations of the rules.
- Saves new rules into the rules database.
Potential Applications: This technology can be applied in various industries where data object maintenance and rule enforcement are crucial, such as software development, data management, and compliance monitoring.
Problems Solved: This technology streamlines the process of enforcing rules for data objects, ensuring data integrity and compliance with regulations. It also provides a user-friendly interface for managing and mitigating rule violations.
Benefits:
- Improved data integrity and compliance.
- Streamlined data object maintenance process.
- User-friendly interface for rule enforcement.
- Enhanced efficiency in managing rule violations.
Commercial Applications: The technology can be utilized in software development tools, data management systems, and compliance monitoring platforms to enhance data integrity and streamline rule enforcement processes, potentially leading to cost savings and improved regulatory compliance.
Prior Art: Prior art related to this technology may include existing rule enforcement systems, data validation tools, and user interface plug-ins for data management applications.
Frequently Updated Research: Researchers may be exploring enhancements to the rule user interface plug-in, integration with artificial intelligence for rule validation, and scalability for large-scale data object maintenance.
Questions about Rule User Interface Plug-In: 1. How does the rule user interface plug-in determine violations of the rules? 2. What are the key considerations when designing a rule user interface plug-in for data object maintenance?
Original Abstract Submitted
In an implementation, one or more rules associated with a DO from a rules database is read by a rule user interface (UI) plug-in associated with a data object (DO) maintenance UI. The one or more rules for the DO to fields associated with the DO on the DO maintenance UI are related by the rule UI plug-in. The rule UI plug-in, using the related one or more rules, auto-populates and validates received values for the fields associated with the DO on the DO maintenance UI. The rule UI plug-in determines that one or more violations of the one or more rules has occurred and displays an additional UI with mutually exclusive options for mitigating the determined one or more violations of the one or more rules. A new rule is saved into the rules database.
