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:
Jun. 11, 2024

Filed:

Jun. 28, 2019
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Luis Carlos Maria Remis, Hillsboro, OR (US);

Justin Gottschlich, Santa Clara, CA (US);

Javier Sebastian Turek, Beaverton, OR (US);

Ignacio Javier Alvarez, Portland, OR (US);

David Israel Gonzalez Aguirre, Hillsboro, OR (US);

Javier Felip Leon, Hillsboro, OR (US);

Assignee:

INTEL CORPORATION, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/044 (2023.01); G06F 16/245 (2019.01); G06F 16/28 (2019.01); G06F 16/901 (2019.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06N 3/044 (2023.01); G06F 16/245 (2019.01); G06F 16/285 (2019.01); G06F 16/9024 (2019.01); G06N 3/08 (2013.01);
Abstract

Methods, apparatus, systems and articles of manufacture for providing query selection systems are disclosed. An example query selection system includes a processor to: analyze a graph database; identify respective ones of objects associated with the graph database; obtain properties associated with the objects; identify common properties present in the respective ones of the objects; in response to determining the common properties present in the identified objects, output a list of the common properties corresponding to the respective ones of the objects; generate a table for the common properties and the respective ones of the objects; and populate the table with the common properties and the respective ones of the objects from the graph database to establish a relational database. The system further includes a machine learning model classifier to enable relational database query searching via the relational database.


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