Analyzing multimedia content using knowledge graph embeddings

This invention describes a system that automatically checks if multimedia content or a user's access to it breaks specific rules. It works by using natural language processing to understand the rules and converting both the rules and the multimedia content into numerical representations. These representations are then compared within a structured database called a knowledge graph to detect any violations, triggering an appropriate action.

Why it matters: Filed before the widespread adoption of advanced large language models, which can now more effectively process complex policy data and generate richer embeddings for both policies and multimedia content. This makes the core comparison task significantly more accurate and feasible to implement than in 2017.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning, knowledge graph, NLP

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10