Distributed Key-Value Pair Matching Across Organizations
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Solution Overview
Problem
Conventional cross-organizational blockchain deployments face challenges in sharing and leveraging key-value attribute pairs due to differences in labeling conventions, preventing organizations from deriving meaningful information from each other's data.
Innovation Solution
A method and system for distributed matching and association of key-value attribute pairs across multiple organizational entities using a key-value pair similarity algorithm, generating a shared output mapping that reconciles and associates conceptually aligned pairs, enabling organizations to leverage each other's information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If organizations share key-value attribute pairs across blockchain networks, then information availability and user experience customization improve, but data interoperability and meaningful information derivation worsen due to differing labeling conventions
Solution Approach 1:
The patent introduces an intermediary layer consisting of mapping tables and translation mechanisms that convert between different organizational labeling conventions. This intermediary enables seamless data exchange by acting as a bridge that translates attribute pairs from one organization's schema to another's, resolving the contradiction between information availability and data interoperability
Solution Approach 2:
The system dynamically changes the parameter representation of key-value attribute pairs by applying transformation rules that adapt labels and values based on the target organization's conventions. This parameter transformation allows the same underlying data to be presented in multiple organizational contexts without loss of meaning or interoperability
2Reliability
If organizations maintain independent labeling conventions for key-value attribute pairs, then organizational data sovereignty and privacy are preserved, but the ability to derive meaningful information from cross-organizational data is lost
Solution Approach 1:
The patent segments the data exchange process into distinct layers: the original organizational data layer that maintains sovereignty, and a translation layer that enables cross-organizational meaning. This segmentation allows organizations to preserve their independent labeling conventions while still enabling meaningful information derivation through the intermediary translation mechanism
3Stability of the object's composition
If a centralized system is used to manage key-value attribute pair mappings, then mapping consistency and data reconciliation improve, but system complexity and deployment difficulty increase
Solution Approach 1:
The patent creates universal mapping tables and translation rules that can be deployed across multiple blockchain networks and organizational boundaries. This universal approach provides consistent mapping functionality without requiring complex centralized coordination, as the same translation mechanisms can serve multiple organizations and use cases simultaneously
Data Source
AI summary
Systems, methods, and computer-readable media are disclosed for associating and reconciling disparate key-value pairs corresponding to a target entity across multiple organizational entities using a distributed match. A shared output mapping may be generated that associates and reconciles common and/or conceptually aligned key-value pairs across the multiple organizational entities. The shared output mapping allows any given organizational entity to leverage information known to other organizational entities about a target entity. In this manner, the organizational entities participate in an information sharing ecosystem that enables each organizational entity to provide a user with a more optimally customized user experience based on the greater breadth of information available through the shared output mapping.