Verfier Interpretation System for Unknown Credential Schemas
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Solution Overview
Problem
Verifiers struggle to validate the authenticity of identity credentials without pre-existing knowledge of the credential format, including syntax and object properties.
Innovation Solution
The implementation of a verifier interpretation system that uses computer models to interpret unknown credential schemas, enabling verifiers to verify credential data without prior knowledge of the schema through the use of a claims agent computing environment trained on credential structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If verifiers require pre-existing knowledge of credential format and schema to validate credentials, then verification accuracy is improved, but system complexity and ease of operation deteriorate
Solution Approach 1:
The patent introduces a schema registry as an intermediary component that stores credential schemas and provides interpretation services to verifiers. Instead of requiring verifiers to have built-in knowledge of multiple credential formats, the schema registry acts as a central mediator that translates and interprets schemas, allowing verifiers to validate credentials without pre-existing format knowledge.
Solution Approach 2:
The schema registry provides universal interpretation capabilities for multiple credential formats and schemas through a single system. It can handle different credential types (academic credentials, professional certifications, identity verification) using a unified interpretation mechanism, eliminating the need for separate verification systems for each credential type.
2Adaptability or versatility
If verifiers store multiple credential schemas locally to validate different credential formats, then verification capability is improved, but device complexity and storage requirements worsen
Solution Approach 1:
The schema registry serves as a centralized intermediary that stores and manages all credential schemas. Verifiers query the schema registry for schema information rather than maintaining local copies of multiple schemas. This centralization reduces verifier complexity while maintaining the ability to validate diverse credential formats through on-demand schema retrieval.
Solution Approach 2:
The patent moves schema storage from the horizontal dimension (distributed across multiple verifier systems) to a vertical dimension (centralized in the schema registry). This dimensional shift allows verifiers to remain lightweight while accessing comprehensive schema information through network queries to the centralized registry.
3Reliability
If credential schemas are standardized and fixed, then verification reliability is improved, but adaptability to new credential formats worsens
Solution Approach 1:
The schema registry implements dynamic schema management, allowing schemas to be added, updated, and versioned over time. When new credential formats are introduced, their schemas can be registered in the schema registry without requiring changes to the verifier logic. The system dynamically adapts to new schemas through registry updates while maintaining verification reliability through structured schema validation rules.
Solution Approach 2:
New credential schemas can be pre-registered and validated in the schema registry before being deployed for actual credential verification. This preliminary action ensures that new schemas meet validation requirements and are properly formatted before entering production use, maintaining verification reliability while enabling adaptability to new credential types.
Data Source
AI summary
Disclosed are various approaches for facilitating verifier integrations using computer models. An exemplary system of the present disclosure comprises a computing device comprising a processor and a memory; and machine-readable instructions stored in the memory that, when executed by the processor, cause the computing device to at least: receive an unstructured claim query for a data document from an entity computing device, wherein the data document is structured in accordance with a data document schema; parse the unstructured claim query to identify attributes that are then converted to a machine-understandable representation of the unstructured claim query; prepare, using a predictive model that is trained to understand data documents that are structured in accordance with the data document schema, a query response to the machine-understandable representation of the unstructured claim query by evaluating contents of the data document; and transmit the query response to the entity computing device.