Method and system for extracting contextual information from a knowledge base

This invention describes a computer system that helps users find specific, relevant information from a vast collection of data. When a user asks a question, the system first checks if the question has enough detail. Then, it uses a detailed approach to create a list of important words with assigned values from various articles, which helps it pull out the exact contextual information the user needs from a trained database.

Why it matters: Filed before the widespread adoption of advanced Large Language Models (LLMs), which can now automate or significantly enhance the creation of keyword dictionaries, domain ontologies, and contextual extraction, making the system more efficient to build and operate.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, knowledge base, ontology builder

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