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:

Apr. 25, 2023
Applicant:

Bank of America Corporation, Charlotte, NC (US);

Inventors:

Anurajam Rajagopalan, Tamil Nadu, IN;

Sai Srinivas Vartha, Telangana, IN;

Durga Prasad Kutthumolu, Telangana, IN;

Roy Jyoti Ranjan, Telangana, IN;

Assignee:

BANK OF AMERICA CORPORATION, Charlotte, NC (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/21 (2019.01); G06F 16/242 (2019.01); G06F 16/25 (2019.01);
U.S. Cl.
CPC ...
G06F 16/212 (2019.01); G06F 16/2448 (2019.01); G06F 16/252 (2019.01); G06F 16/258 (2019.01);
Abstract

Systems, computer program products, and methods are described herein for processing resources and associated metadata in the metaverse using knowledge graphs. The invention relates to a method for processing and converting documents from a digital data source, involving the following steps: receiving one or more documents from the data source; storing the documents in a network attached storage using a file transfer protocol; converting the documents into an extensible markup language (XML) format; storing the converted documents in an API-accessible document database; generating a downstream process API for accessing the document database; creating an abstract document delineation for the converted documents based on data extracted via the downstream process API; and finally, transforming the abstract document delineation and associated metadata into a semantic, immersive, actionable ontological modeling language, facilitating enhanced document representation and interaction.


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