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