Jpmorgan Chase Bank, N.a.

Deepak Jayadas

Santosh Chikoti

Jeffrey Kessler

Saurabh Gupta

Systems and methods for generalized structured data discovery utilizing contextual metadata disambiguation via machine learning are disclosed. A method may include receiving physical application metadata for an attribute, a database object, or a database; receiving reference data including tokens and their associated abbreviations and acronyms; parsing the physical application metadata into application tokens including known application tokens and unknown application tokens; identifying unknown application tokens by comparing the parsed application tokens to a corpus; performing probabilistic parsing on the unknown application tokens using the reference data resulting in token phrases; identifying monosemous tokens in the token phrases using a look-up dictionary; replacing the monosemous tokens with their expansions from the look-up dictionary; and outputting a mapping of the physical application metadata to enhanced physical application metadata that includes an expression for the physical application metadata comprising the expansions for monosemous tokens in a supported language.

Growing community of inventors

Newark, DE, United States of America

Deepak Jayadas