System and Method for Ingesting Data Based on Processed Metadata

原文（中文）

A system, device and method are provided for assessing actions of authenticated persons within an enterprise system. The illustrative method includes extracting metadata comprising a plurality of categories from a plurality of data sources, and applying an unsupervised machine learning process to the extracted metadata. A plurality of clusters of the plurality of categories of the extracted metadata is generated, and thereafter one or more review criteria are applied thereto to generate curated clusters. The method includes training a supervised machine learning model with the curated clusters. The method includes, in response to receiving a new metadata input, processing the new metadata input with the trained supervised machine learning model. Data associated with the new metadata input is ingested based on respective clusters output by the trained supervised machine learning model for categories of the new metadata input.