Multiplatform Content Registration with Knowledge Graphs
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional content attribution monitoring systems require manual, specialized knowledge-intensive interactions for content creators to register and manage resource transfers across multiple platforms, leading to inefficiencies, errors, and unmatched royalties.
Innovation Solution
A knowledge graph-based system that generates a content creator profile using generative AI to automate registration with multiple content attribution monitoring systems, enabling single sign-on and resource transfer management without user intervention, and supports user interfaces for content promotion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual registration processes are used across multiple content attribution monitoring systems, then content creators can register their content, but the process requires specialized knowledge and introduces numerous errors
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between content creators and multiple content attribution monitoring systems. This intermediary handles the registration process automatically, translating creator profiles into system-specific formats without requiring creators to directly interact with complex registration procedures, thereby eliminating errors while maintaining ease of use
Solution Approach 2:
The system enables content creators to perform self-service registration by creating a single profile that automatically propagates to multiple monitoring systems. The automated profile generation and distribution mechanism allows creators to register their content across platforms without manual intervention or specialized knowledge, improving both reliability and ease of operation
2Adaptability or versatility
If content creators manually manage registration across multiple platforms, then they can control their content attribution, but it requires duplication of data and computing resources
Solution Approach 1:
The patent merges multiple platform-specific registration processes into a single unified profile creation process. The system consolidates data management by maintaining one master creator profile that automatically adapts to and populates multiple monitoring systems, eliminating redundant data entry and reducing overall data duplication while maintaining multiplatform compatibility
Solution Approach 2:
The patent creates a universal profile structure that serves multiple functions across different content attribution monitoring systems. This single profile design can be adapted to various platform requirements simultaneously, allowing the same data to fulfill multiple registration purposes without requiring separate duplicate datasets for each platform
3Productivity
If automated registration is implemented using AI, then user efficiency improves, but system complexity increases
Solution Approach 1:
The patent implements preliminary action by pre-structuring the profile data in a standardized format that anticipates the requirements of multiple monitoring systems. The AI system prepares and validates creator profiles in advance, automatically formatting and distributing them to various platforms before actual registration is needed, thereby improving efficiency while containing complexity through upfront preparation
Solution Approach 2:
The patent replaces manual mechanical registration processes with AI-driven automated systems. Machine learning models automatically extract creator information, format it appropriately, and submit registrations to multiple platforms without human intervention. This substitution significantly improves productivity while the modular AI architecture manages system complexity through specialized components that handle specific tasks independently
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Digital service license control techniques are described. In one or more examples, registration signup data is obtained from a plurality of content attribution monitoring systems and a plurality of resource transfer templates are generated for the plurality of content attribution monitoring systems. A content creator profile formed as a knowledge graph is generated as having a plurality of nodes that include the content creator identifier and a composition identifier associated with a composition of content associated with the content creator. A single input is received via a user interface to initiate registration with the plurality of content attribution monitoring systems for resource transfer collection. Resource transfer data is generated for each of the plurality of content attribution monitoring systems, automatically and without user intervention, by mapping the knowledge graph of the content creator profile using respective resource transfer templates of the plurality of resource transfer templates.