Knowledge Graph Link Attestation for Accurate Entity Relationships

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Solution Overview

Problem

Existing spreadsheet-based systems for managing linkages between service providers and receivers in large enterprises are prone to human error, data integrity issues, and scalability challenges, making it difficult to navigate complex data and ensure compliance with regulatory requirements.

Innovation Solution

A knowledge graph system is employed to semantically link and analyze data, allowing for efficient management of relationships between legal entities, with a user interface for confirming inferred graph link types to ensure data accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If spreadsheet-based systems are used to manage linkages between service providers and receivers, then ease of operation is maintained, but data integrity and reliability deteriorate due to human error and scalability challenges

Engineering Contradiction:

Improvedata integrityVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces manual spreadsheet-based mechanical data management with an automated knowledge graph system that uses computational algorithms to infer relationships between legal entities. This substitution eliminates human error in data entry and relationship mapping while maintaining system usability through automated processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The knowledge graph system performs self-service by automatically inferring relationships between service providers and receivers without requiring manual intervention. The system autonomously processes data, identifies connections, and updates the knowledge graph, thereby improving data integrity while reducing operational complexity.

Inventive Principle:

Principle #25Self-service

2Productivity

If manual spreadsheet management is used, then device complexity is low, but productivity deteriorates due to difficulty in navigating complex data and ensuring compliance

Engineering Contradiction:

Improvedata management efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system replaces manual spreadsheet navigation with automated knowledge graph querying capabilities. Users can efficiently retrieve and analyze relationships between legal entities through the knowledge graph interface, dramatically improving productivity in managing complex data while the system handles the computational complexity.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The knowledge graph acts as an intermediary layer between raw data and users, providing structured relationships and contextual information that simplify data navigation. This intermediary structure enables efficient compliance checking and data analysis without requiring users to directly manage complex underlying data structures.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Loss of information

If spreadsheet systems are used to track services and subsidiaries, then ease of operation is maintained, but loss of information increases due to data integrity issues

Engineering Contradiction:

Improvedata accuracyVSAvoidoperational simplicity

Core Design Contradiction:

Loss of informationVSEase of operation

Solution Approach 1:

The patent replaces manual spreadsheet operations with automated knowledge graph processing that systematically infers and validates relationships between legal entities. This substitution eliminates data loss from human error while the system maintains operational simplicity through automated workflows and user-friendly interfaces.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The knowledge graph system incorporates feedback mechanisms that continuously validate and update relationships between service providers and receivers. By automatically checking data consistency and inferring missing connections, the system prevents information loss while maintaining ease of operation through self-correcting processes.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250238428A1Systems and method for inferred graph data link attestation

Publication Date: 2025.07.24 WELLS FARGO BANK NA

AI summary

A method may include presenting a user interface, the user interface including: a graph presentation area; and a graph link type confirmation area; executing a knowledge graph database search query; in response to the executing, receiving a set of tuple objects corresponding to relationships between entities in the knowledge graph database; populating the graph presentation area with representations of the entities and links connecting the representations of the entities; populating the graph link type confirmation area with a selectable user interface element configured to confirm a relationship of the relationships between entities; receiving activation of the selectable user interface element; and in response to receiving the activation, updating the graph presentation area.