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:
Mar. 04, 2025

Filed:

Dec. 12, 2022
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Parminder Bhatia, Seattle, WA (US);

Thiruvarul Selvan Senthivel, Snoqualmie, WA (US);

Emine Busra Celikkaya, Seattle, WA (US);

Jeremy Douglas Fehr, Seattle, WA (US);

Arjun Mukhopadhyay, Seattle, WA (US);

Shyam Ramaswamy, Seattle, WA (US);

Arun Kumar Ravi, Kirkland, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/36 (2019.01); G06F 16/33 (2019.01); G06F 16/334 (2025.01); G06N 20/00 (2019.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G06F 16/367 (2019.01); G06F 16/3346 (2019.01); G06N 20/00 (2019.01); G16H 50/20 (2018.01);
Abstract

Techniques for ontology linking of unstructured text as a service are described. A service may receive a request to link unstructured text to a standardized ontology, and the service may segment and tokenize the unstructured text and send the result to multiple services implementing multiple deep machine learning models trained to identify particular entities and one or more relationships between entities. The service may perform a search of the standardized ontology to identify a set of similar candidates from the standardized ontology for the detected entities and the one or more relationships, and then rank the set of similar candidates from the standardized ontology according to their similarity to the detected entities within the unstructured text. The output from the service may include a result identifying a highest ranked candidate of the set of similar candidates from the standardized ontology for the detected entities within the unstructured text.


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