Techniques for building a knowledge graph in limited knowledge domains

This invention outlines a method to create a specialized knowledge graph for a particular use. It begins by extracting facts and relationships from a user's own data, such as conversations, to form a basic network. This initial network is then expanded by finding related information in a larger, existing knowledge base, specifically by identifying disconnected parts of the user's network and linking them to the broader knowledge.

Why it matters: Filed just as Large Language Models were becoming highly capable at entity and relation extraction. The methods described for processing user data and expanding knowledge graphs could now be significantly enhanced and automated by modern LLM capabilities, making the implementation more robust and efficient.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComplex AI/ML software for knowledge graphs.

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