Method and system for discovering knowledge from text documents using associating between concepts and sub-concepts

This invention describes a way to find important insights from written documents. It works by first pulling out key pieces of information, called 'concepts,' and how they relate to each other. Then, it identifies the most important concepts based on how often they appear. Finally, it uses a specialized system to find hidden connections and patterns among these concepts to discover new knowledge.

Why it matters: Filed before the advent of modern natural language processing and large language models, the core idea of extracting concepts and relations from text to discover knowledge is now significantly more powerful and scalable. What required complex, hand-tuned systems or simpler statistical methods in 2002 can now be achieved with greater accuracy and automation using current AI technologies, particularly for the 'associative discoverer' and 'knowledge acquisition' steps.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedSoftware logic, knowledge base, advanced NLP algorithms

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