Knowledge representation systems and methods incorporating inference rules

This is a computer system designed to understand and organize complex information. It works by taking complicated data, like a document, and breaking it down into its most basic facts and relationships using a set of predefined rules. For example, it can identify if one concept "is a type of" another, or if two concepts are very close together in the text. These basic facts can then be used to build new, structured information as needed.

Why it matters: Filed before the widespread adoption of advanced AI and large language models. Modern NLP and LLMs are now highly capable of deconstructing complex text into elemental concepts and relationships, and synthesizing new knowledge representations, making the rule-based and linguistic inference aspects of this invention much more powerful and scalable than in 2012.

Status: Not in forceListed as no longer active.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 engineering, rule engines

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