This invention describes a computer system designed to help organize and clean up complex data. It works by automatically identifying the meaning or "semantic role" of each piece of data, using its type, values, and information from an external reference source. The system then suggests ways to fix errors and structure the data, applying these changes based on user input, but only if the user is authorized to access the external reference data.
Why it matters: Filed just as advanced AI models were becoming widely capable of sophisticated semantic understanding. The core task of assigning semantic roles and suggesting data transformations, especially using external knowledge, is now significantly more feasible and powerful with current large language models.
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