Intelligent Rule Base Service for Inter-Enterprise Automation
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Solution Overview
Problem
Current inter-enterprise collaboration systems face limitations in automation due to human constraints, such as the need for manual translation and adherence to specific rules, which hinder complete automation of collaboration flows and integration with external systems.
Innovation Solution
An intelligent rule base service system that dynamically validates and adjusts rules, translates terms, and integrates with external rule bases to automate decision processing and information exchange, comprising a rule base service interface, rule component, rule application component, and external rule base interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual translation and rule adherence are required in inter-enterprise collaboration, then human oversight and control are maintained, but complete automation of collaboration flows cannot be achieved
Solution Approach 1:
The patent introduces an intelligent rule base service as an intermediary component between enterprises in the collaboration system. This service automatically handles translation of different specific terms and phrases, and mechanically applies transaction rules based on predefined conditions, thereby achieving automation while maintaining reliability through structured rule-based control
Solution Approach 2:
The system enables self-service automation where the intelligent rule base service autonomously processes translation and rule application without human intervention. The service automatically retrieves rules from the rule base, applies them to transactions, and executes decisions based on predefined conditions, eliminating the need for manual human oversight in routine collaboration tasks
2Device complexity
If a fixed and inexpansible rule base is used in DSS, then system simplicity is maintained, but the system cannot adapt to changing industry or enterprise circumstances
Solution Approach 1:
The patent implements a dynamic rule base that can be automatically updated and adjusted based on changing conditions. The intelligent rule base service retrieves rules dynamically from an external rule base interface, allowing the system to adapt to new industry standards and enterprise requirements without requiring complete system redesign or manual reconfiguration
Solution Approach 2:
The system performs preliminary actions by pre-defining transaction rules and translation mappings in the rule base before they are needed. When transactions occur, the system automatically applies these pre-prepared rules, enabling rapid adaptation to new scenarios by simply updating the rule base in advance rather than processing changes in real-time during transactions
3Measurement precision
If expert system and DSS are used as independent software, then each system can be optimized for its specific field, but integration with external systems and complete automation are limited
Solution Approach 1:
The patent merges the expert system and decision support system into a unified intelligent rule base service that operates within the SESP collaboration platform. This integrated service combines field-specific optimization capabilities with broader system integration, allowing it to handle both specialized translation tasks and general transaction rule applications across multiple enterprises simultaneously
Solution Approach 2:
The intelligent rule base service is designed with universal functionality to handle multiple types of transactions and translation requirements across different enterprises and industries. The service can retrieve and apply various types of rules from the external rule base interface, making it adaptable to diverse collaboration scenarios while maintaining field-specific precision through rule-based processing
Data Source
AI summary
An executing system and executing method of intelligent rule base service (IRBS) is provided. The executing system uses a rule base service interface for receiving a service request content which includes a header from a rule base service module, and obtains a proper rule from the rule base according to the header when a rule component receives the service request content. Finally, a rule application component applies the received rule on a part of the service request content needed to be processed to obtain and output a processing result.