Custom Data Structure for Non-Standardized User Profile Graph Integration

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Solution Overview

Problem

Conventional data exchange approaches struggle with sharing, navigating, and searching data featuring non-standardized schemas, particularly user profile data, which is ill-fitted for connected graph database structures, leading to duplication and inconsistency of user profile data across applications.

Innovation Solution

A custom data structure is generated with pointers between user profile attributes and existing assets in a connected graph, enabling direct searches and queries, and automatically updating user profile data when assets are modified.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If user profile data is stored separately on user devices or in remote files, then data can be accessed by applications, but the data is excluded from the data exchange ecosystem and cannot benefit from centralized management and search functions

Engineering Contradiction:

ImproveAccess to user profile dataVSAvoidIntegration with data exchange ecosystem

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent merges user profile data storage into the connected graph data exchange ecosystem by creating a unified data structure that combines user profile attributes with graph nodes and edges. This allows user profile data to be both accessible by applications and integrated into the centralized data exchange system, resolving the contradiction between ease of access and adaptability to the ecosystem.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces a custom data structure as an intermediary between traditional user profile storage and the connected graph ecosystem. This intermediary structure contains pointers to graph nodes and edges while maintaining user profile data, enabling seamless integration without disrupting existing access patterns or ecosystem functionality.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If conventional file or program directory structures are used for data exchange, then data related to files or programs can be organized and cross-referenced efficiently, but data with non-standardized schemas cannot be easily searched or navigated

Engineering Contradiction:

ImproveData organization and cross-referencing efficiencyVSAvoidSearch and navigation of non-standardized data

Core Design Contradiction:

ProductivityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent makes the connected graph data structure universal by designing it to accommodate both standardized and non-standardized schemas. The graph structure can represent various data types and relationships through flexible node and edge definitions, allowing efficient organization and search of diverse data while maintaining the productivity benefits of centralized management.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent changes the fundamental parameters of data organization from rigid file directory structures to flexible graph-based relationships. By representing data as nodes with attributes and connections as edges, the system can efficiently navigate and search non-standardized schemas through graph traversal algorithms rather than hierarchical file system operations.

Inventive Principle:

Principle #35Parameter changes

3Ease of operation

If user profile data is stored outside the data exchange ecosystem, then applications can access the data, but modifications cannot be implemented at a single point and dispersed throughout the ecosystem

Engineering Contradiction:

ImproveApplication access to user profile dataVSAvoidData modification and dissemination process

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent merges user profile data storage into the connected graph data exchange ecosystem, creating a unified system where data modifications can be made at a single location within the graph structure and automatically propagated throughout the ecosystem through the graph's inherent connectivity and update mechanisms.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patent implements feedback mechanisms within the connected graph structure that automatically propagate modifications throughout the ecosystem. When user profile data is updated in the graph, the system provides feedback through the network of connected nodes and edges, ensuring consistent dissemination of changes across all applications and components that access the data.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12189602B2Methods and systems for connecting data with non-standardized schemas in connected graph data exchanges

Publication Date: 2025.01.07 CAPITAL ONE SERVICES LLC

AI summary

Methods and systems for connecting data with non-standardized schemas in connected graph data exchanges. For example, the system generates a custom data structure corresponding to a user identifier for a user profile that includes pointers between user profile attributes (e.g., individual fields/categories within the user profile) and existing assets in a connected graph (e.g., an existing application, software profile for an application, data set, connections, etc.). The system then connects the custom data structure corresponding to the user identifier to the existing assets in the connected graph.