Textual Analysis and Generation with Description Logics

This invention describes a system that helps computers understand and organize text from various sources like websites, videos, or even advertiser content. It works by creating structured knowledge bases, called ontologies, and then translating everyday language into a precise, logical format that computers can easily process and compare. Specifically, the system uses advanced AI, like neural networks, trained on examples of human-annotated text to perform this translation.

Why it matters: The continuous rapid advancements in large language models since 2025 have made semantic understanding and the generation of structured data from natural language significantly more robust, potentially simplifying the complex translation and ontology creation steps outlined in the claims.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedSoftware logic, neural networks, ontologies, training data.

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