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Patent drawing for Machine learning to integrate knowledge and natural language processing
US 10,599,780 B2
Computing US 10,599,780 B2 Expired

Machine learning to integrate knowledge and natural language processing

This invention describes a computer system that uses artificial intelligence and machine learning to automatically build and manage a knowledge graph. It works by extracting facts and their connections from various types of information, including plain text, and then storing them in a structured way within the knowledge graph. The system also assigns a trustworthiness score to the stored information and can link it to a blockchain ledger to track asset values. The claims further narrow the invention to systems that can partition data within the knowledge graph with different reliability values, and systems that can link and update information between two separate knowledge graphs based on reliability or feedback.

Why it matters: Filed before the widespread adoption and advanced capabilities of large language models (LLMs). LLMs have significantly simplified and improved the extraction of data and relationships from unstructured text, which was a major technical hurdle in 2019.

Status
ExpiredProtection ended and was never renewed
How hard to build
SpecializedAI, ML, NLP, knowledge graph software

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