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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.

Patent No.:

US 12259940 B1

PDFFull Text
Date of Patent:
Mar. 25, 2025

Filed:

Jul. 06, 2021

Automation system and method

Applicant:

Grokit Data, Inc., Stuart, FL (US);

Inventors:

James A. Harding, Issaquah, WA (US);

Anthony J. Paquin, Stuart, FL (US);

Scott Thibault, Colchester, VT (US);

Jason A. Boatman, Charlottesville, VA (US);

Assignee:

GROKIT DATA, INC., Stuart, FL (US);

Attorneys:

Brian J. Colandreo

Heath M. Sargeant

Holland & Knight LLP

Primary Examiner:

Tuankhanh D Phan

Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 3/0481 (2022.01); G06F 9/48 (2006.01); G06F 9/50 (2006.01); G06F 9/54 (2006.01); G06F 11/3604 (2025.01); G06F 16/80 (2019.01); G06F 16/84 (2019.01); G06F 16/951 (2019.01); G06F 16/955 (2019.01); G06F 16/957 (2019.01); G06F 16/958 (2019.01); G06F 18/214 (2023.01); G06F 40/14 (2020.01); G06N 5/02 (2023.01); G06N 20/00 (2019.01); G06Q 10/04 (2023.01); G06Q 10/0631 (2023.01); G06Q 10/0633 (2023.01); G06Q 10/0637 (2023.01); G06Q 10/067 (2023.01); G06Q 30/0201 (2023.01); G06Q 30/0282 (2023.01); G06Q 30/0601 (2023.01); G06Q 10/083 (2023.01); G06Q 10/0833 (2023.01); G06Q 10/10 (2023.01); G06Q 30/04 (2012.01);
U.S. Cl.
CPC ...
G06F 16/958 (2019.01); G06F 3/0481 (2013.01); G06F 9/4806 (2013.01); G06F 9/4843 (2013.01); G06F 9/485 (2013.01); G06F 9/5066 (2013.01); G06F 9/542 (2013.01); G06F 9/547 (2013.01); G06F 11/3612 (2013.01); G06F 11/3616 (2013.01); G06F 16/80 (2019.01); G06F 16/84 (2019.01); G06F 16/951 (2019.01); G06F 16/955 (2019.01); G06F 16/9577 (2019.01); G06F 16/986 (2019.01); G06F 18/214 (2023.01); G06F 40/14 (2020.01); G06N 5/027 (2013.01); G06N 20/00 (2019.01); G06Q 10/04 (2013.01); G06Q 10/06315 (2013.01); G06Q 10/0633 (2013.01); G06Q 10/06375 (2013.01); G06Q 10/067 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0282 (2013.01); G06Q 30/0641 (2013.01); G06Q 10/0833 (2013.01); G06Q 10/0838 (2013.01); G06Q 10/10 (2013.01); G06Q 30/04 (2013.01);
Abstract

A computer-implemented method, computer program product and computing system for providing a plurality of data description models corresponding to a plurality of websites to a machine learning process; providing ontology data concerning the plurality of websites to the machine learning process; providing target website data concerning a target website to the machine learning process; and processing the plurality of data description models, ontology data and target website data using the machine learning process to generate a data description model for the target web site.

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