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:
Nov. 24, 2020

Filed:

Sep. 20, 2019
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

David Bacarella, Schaumburg, IL (US);

James H. Barnebee, IV, Winter Park, FL (US);

Nicholas Lawrence, Milwaukee, WI (US);

Sumit Patel, Austin, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/40 (2020.01); H04L 29/08 (2006.01); G06N 5/04 (2006.01); H04L 9/06 (2006.01); G06N 20/00 (2019.01); G06F 16/36 (2019.01); G06F 16/33 (2019.01); G06F 16/901 (2019.01); G06N 5/02 (2006.01); G06F 40/20 (2020.01); G06F 40/30 (2020.01); G06F 40/216 (2020.01); G06F 40/226 (2020.01); G06F 40/295 (2020.01);
U.S. Cl.
CPC ...
G06F 40/40 (2020.01); G06F 16/3334 (2019.01); G06F 16/367 (2019.01); G06F 16/9024 (2019.01); G06F 40/20 (2020.01); G06F 40/216 (2020.01); G06F 40/226 (2020.01); G06F 40/295 (2020.01); G06F 40/30 (2020.01); G06N 5/02 (2013.01); G06N 5/022 (2013.01); G06N 5/043 (2013.01); G06N 20/00 (2019.01); H04L 9/0637 (2013.01); H04L 67/104 (2013.01);
Abstract

A system, computer program product, and method are provided to automate a framework for knowledge graph based persistence of data, and to resolve temporal changes and uncertainties in the knowledge graph. Natural language understanding, together with one or more machine learning models (MLMs), is used to extract data from unstructured information, including entities and entity relationships. The extracted data is populated into a knowledge graph. As the KG is subject to change, the KG is used to create new and retrain existing machine learning models (MLMs). Weighting is applied to the populated data in the form of veracity value. Blockchain technology is applied to the populated data to ensure reliability of the data and to provide auditability to assess changes to the data.


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