International Business Machines Corporation
Building a word embedding model to capture relational data semantics
Last updated:
Abstract:
A computer-implemented method according to one embodiment includes identifying a relational database; determining columns of interest within the relational database; creating an unordered group of string tokens for each row of the relational database, utilizing the determined columns of interest; assigning weights for one or more columns within the relational database to one or more string tokens within each unordered group of string tokens to create a plurality of weighted unordered groups of string tokens; and determining a meaning vector for an identifier of each row of the relational database, utilizing the plurality of weighted unordered groups of string tokens.
Status:
Grant
Type:
Utility
Filling date:
28 Oct 2019
Issue date:
30 Aug 2022