Ontology-Based Rule Guard for Multi-Country Schema Generation
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Solution Overview
Problem
Existing business application architectures face challenges with scattered and overlapping business rules, complex rule management, and inefficient performance due to rigid schemas and static rule enforcement, making it difficult to adapt to country-specific and client-specific requirements.
Innovation Solution
A rule guard system that utilizes ontologies to generate dynamic application database schemas and rules, enabling context-sensitive validation and compliance checks by segregating rules into universal, country-specific, and client-specific categories, and employing a centralized rule registry for efficient execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If rigid schemas and static rule enforcement are used, then system stability is maintained, but adaptability to country-specific and client-specific requirements deteriorates
Solution Approach 1:
The patent segments business rules into three distinct categories: universal rules (applicable across all contexts), country-specific rules (applicable to particular countries), and client-specific rules (applicable to particular clients). This segmentation allows the system to maintain stability through universal rules while adapting to specific requirements through targeted rule applications, thereby resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The patent implements dynamic rule enforcement by selecting and applying different rule sets based on the operational context. The system dynamically determines which rules to enforce by considering country and client parameters, allowing the same system to adapt its behavior without requiring complex manual reconfiguration. This dynamic approach improves adaptability while managing complexity through automated rule selection.
2Productivity
If scattered and overlapping business rules are used, then rule coverage is comprehensive, but rule management efficiency deteriorates
Solution Approach 1:
The patent merges all business rules into a unified, hierarchical structure organized by context (universal, country-specific, client-specific). This consolidation eliminates scattered and overlapping rules by establishing a single source of truth for all business logic. The hierarchical organization allows comprehensive rule coverage while significantly improving management efficiency through centralized control and reduced redundancy.
3Reliability
If context-sensitive validation is implemented, then data quality and compliance improve, but validation time and processing overhead increase
Solution Approach 1:
The patent performs preliminary action by pre-defining and pre-organizing all business rules in a hierarchical structure before runtime execution. Rules are pre-categorized and prioritized, allowing the validation process to directly access relevant rules without performing complex analysis during execution. This preliminary organization enables fast, context-sensitive validation by eliminating the need for real-time rule discovery and resolution.
Data Source
AI summary
An application database schema and rules for a software application may be created from a Universal Ontology Model (UOM). A UOM graph is created from the UOM, where the UOM graph is a graph data structure comprising nodes and edges. A System-specific Ontology Model (SOM) graph is created based on the UOM graph and country-specific metadata. A Domain-specific Ontology Model (DOM) graph is created based on the SOM and client specific data. The application database schema is created from the DOM graph. The rules are extracted from the DOM graph and stored in a rule registry.