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:
Oct. 13, 2026

Filed:

May. 28, 2022
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Avrilia Floratou, Sunnyvale, CA (US);

Joyce Yu Cahoon, Woodinville, WA (US);

Subramaniam Venkatraman Krishnan, Santa Clara, CA (US);

Andreas C. Mueller, Los Gatos, CA (US);

Dalitso Hansini Banda, Mountain View, CA (US);

Fotis Psallidas, Brooklyn, NY (US);

Jignesh Patel, Madison, WI (US);

Yunjia Zhang, Madison, WI (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/088 (2023.01); G06F 18/2113 (2023.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06N 3/08 (2023.01); G06N 3/091 (2023.01);
U.S. Cl.
CPC ...
G06N 3/088 (2013.01); G06F 18/2113 (2023.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06N 3/08 (2013.01); G06N 3/091 (2023.01);
Abstract

Linguistic schema mapping via semi-supervised learning is used to map a customer schema to a particular industry-specific schema (ISS). The customer schema is received and a corresponding ISS is identified. An attribute in the customer schema is selected for labeling. Candidate pairs are generated that include the first attribute and one or more second attributes which may describe the first attribute. A featurizer determines similarities between the first attribute and second attribute in each generated pair, one or more suggested labels are generated by a machine learning (ML) model, and one of the suggested labels is applied to the first attribute.


Find Patent Forward Citations

Floratou, Avrilia. (2026). Linguistic schema mapping via semi-supervised learning (U.S. Patent No. 12762414). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12762414

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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