The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 31, 2024

Filed:

Jun. 02, 2023
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Simran Aggarwal, Holland Hill, SG;

Rishika Karira, Bangalore, IN;

Shefali Srivastava, Delhi, IN;

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/25 (2019.01); G06F 16/21 (2019.01); G06F 16/2452 (2019.01); G06F 16/28 (2019.01); G06F 40/40 (2020.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 16/258 (2019.01); G06F 16/212 (2019.01); G06F 16/24522 (2019.01); G06F 16/285 (2019.01); G06F 40/40 (2020.01); G06N 20/00 (2019.01);
Abstract

Automatically mapping unlabeled input data onto a target schema via semantic type detection is described. The input data includes data elements that are structured as 2D table rows and columns forming cells. Each data element is included in a cell. The target schema includes a set of fields. Schema mapping includes mapping each column to one or more fields. More particularly, the fields are clustered into field clusters, where each field cluster includes one or more of the fields. Each column is automatically mapped to one of the field clusters of the set of field clusters. The mapping between schema fields and data columns is automatically performed based on appropriate pairings of the detected semantic types, where the semantic types are encoded in vector representations of the fields, the field clusters, and the data elements.


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