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:
Jan. 13, 2026

Filed:

Sep. 07, 2023
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Kuntal Dey, Birbhum, IN;

Kapil Singi, Bangalore, IN;

Kanchanjot Kaur Phokela, New Delhi, IN;

Swapnajeet Choudhury, Bangalore, IN;

Ritu Pramod Dalmia, Mumbai, IN;

Vibhu Saujanya Sharma, Bangalore, IN;

Vikrant Kaulgud, Pune, IN;

Teresa Sheausan Tung, Los Angeles, CA (US);

Alok Tyagi, Sammamish, WA (US);

Lan Guan, New York, NY (US);

Sundharraman Karthik Narain, Los Gatos, CA (US);

Gopali Raval Contractor, Mumbai, IN;

Jagan Mohan Kaliamurthy, Bangalore, IN;

Margaret Cooney Ding, Hallettesville, TX (US);

Srinivasan Saravanamuthu, Issaquah, WA (US);

Rajendra Prasad Tanniru, Basking Ridge, NJ (US);

Niel Eyde, St. Petersburg, FL (US);

Pragya Sharma, Mumbai, IN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 10/067 (2023.01); G06F 16/334 (2025.01);
U.S. Cl.
CPC ...
G06Q 10/067 (2013.01); G06F 16/3344 (2019.01);
Abstract

Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support intelligent re-use of knowledge (e.g., across an organization) using a natural text-based querying framework. A knowledge representation of prior work performed for the organization may be generated based on organizational knowledge (e.g., historical work record data that identifies a plurality of work items across an organization). The knowledge representation may include individual work-record entities for each respective work item and individual knowledge graphs corresponding to the individual work-record entities. For each individual knowledge graph, operations may be performed to identity and store project name, subgraph, sentence embedding, and word embedding information. Responsive to receiving an augmented user query, query-record mapping operations may be performed based at least in part on a comparison of information associated with the augmented user query to the project name, sentence embedding, word embedding, subgraph information, or a combination thereof.


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