Entity Identification via Record Pattern Matching
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Solution Overview
Problem
Existing data structures face challenges in accurately and efficiently matching entity identifiers across different systems, leading to potential false positives and hindered communication between entities managing shared records.
Innovation Solution
A computerized method that uses record patterns to match entity identifiers by comparing a first record pattern with a second record pattern associated with a known entity, ensuring accurate synchronization and communication by associating the entity identifiers when a sufficient match is found.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fuzzy matching techniques are used to match entity identifiers across different data structures, then matching can be performed in situations with incomplete data, but false positive matches occur reducing accuracy
Solution Approach 1:
The patent introduces a standardized identifier system that acts as an intermediary between different data structures. This mediator entity maintains canonical identifiers that both data structures can reference, eliminating the need for direct fuzzy matching between them. The intermediary standardized system provides exact matching capabilities while preserving the ability to handle incomplete data through the standardized reference points.
2Adaptability or versatility
If separate data structures use different identifier systems, then each data structure can maintain its own independent identification methodology, but accurate matching and communication between entities becomes difficult
Solution Approach 1:
The patent implements a universal identifier system that serves multiple functions simultaneously. The standardized identifier system can be used by any data structure that needs to reference entities, providing a common language for identification. This universal system maintains independence of individual data structures while enabling reliable communication and matching across all systems through the shared identifier standard.
3Productivity
If traditional matching methods are used to synchronize entity identifiers, then the process can be simple and fast, but accurate synchronization cannot be guaranteed leading to communication errors
Solution Approach 1:
The patent applies preliminary action by pre-establishing standardized identifier systems and canonical entity representations before matching operations are needed. Entity identifiers are standardized in advance according to the defined schema, and reference data is prepared beforehand. This preliminary standardization enables fast, accurate matching operations without requiring complex real-time analysis, as the foundation for accurate matching is already in place.
Data Source
AI summary
The methods described herein are configured to obtain a first record pattern associated with the unidentified entity and select a second record pattern associated with an entity identifier of a known entity. Based on the first record pattern matching the second record pattern, the entity identifier of the known entity is associated to the unidentified entity to indicate that the unidentified entity and the known entity are the same. Determining the entity identifier of the unidentified entity enables the linking of separate identifier systems of data structures to facilitate communication and/or interaction between the data structures.