Hierarchical Metadata Modeling for Payment Processing Systems
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Solution Overview
Problem
Existing metadata systems are inadequate in managing complex business terms, leading to incomplete representation of metadata, inaccurate mappings, and inefficiencies in data management, particularly in handling hierarchical and multi-generational metadata structures.
Innovation Solution
A computer-implemented method and system for modeling complex hierarchical metadata, which determines principal and complex terms, generates a logical model with hierarchical data structures, links it to a physical component model, and automatically generates an interactive data dictionary, enabling efficient management and visualization of metadata in payment processing systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing metadata systems are used to manage complex business terms, then basic metadata storage is achieved, but the representation becomes incomplete and mappings become inaccurate
Solution Approach 1:
The patent segments complex business terms into hierarchical components using principal terms and complex terms with multiple generations. Each term is broken down into constituent parts that can be independently managed and mapped, allowing for complete representation of complex relationships without information loss.
Solution Approach 2:
The patent implements nested hierarchical structures where complex terms contain embedded complex terms and principal terms. This multi-generational nesting allows complex business terms to be represented in complete detail while maintaining organized, manageable structures that prevent information loss through systematic decomposition.
2Loss of information
If complex hierarchical metadata structures are implemented, then complete metadata representation is achieved, but system complexity increases
Solution Approach 1:
By segmenting the metadata system into distinct principal terms and complex terms with defined generations, the patent reduces system complexity while maintaining completeness. Each segment has a specific function and can be managed independently, making the overall complex structure more tractable.
Solution Approach 2:
The patent introduces a generational dimension to organize complex terms, creating a structured hierarchy that manages complexity through additional organizational layers. This dimensional approach allows complete representation of metadata relationships while providing systematic control over system complexity.
3Productivity
If manual metadata management is used, then flexibility is maintained, but efficiency and accuracy decrease
Solution Approach 1:
The patent implements automated systems that self-manage metadata relationships through defined hierarchical structures and generational term relationships. The system automatically maintains accuracy and completeness of metadata representations without requiring manual intervention, thereby improving both efficiency and precision.
Solution Approach 2:
The patent changes the structural parameters of metadata management by implementing fixed hierarchical relationships and generational term definitions. These parameter changes enable automated processing while maintaining high accuracy, as the structured framework guides systematic metadata management without manual oversight.
Data Source
AI summary
A method, system, and computer program product is provided for modeling business terms based on attributes and characteristics of a data source. The method includes determining principal terms representing at least one first attribute of a payment processing system, generating a plurality of complex terms including a principal term and representing at least one second attribute of a payment processing system, generating a logical model of principal terms and complex terms, and comprising relations between multiple generations of complex terms arranged in a hierarchical data structure, linking the logical model by mapping each physical data field of a plurality of physical data fields to at least one of a principal term and a complex term in the logical model as metadata, and automatically generating an interactive data dictionary for the payment processing system based on each physical data field and corresponding attributes for metadata of physical data fields.