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. 07, 2025

Filed:

Dec. 06, 2021
Applicant:

The Mitre Corporation, McLean, VA (US);

Inventors:

Christine M. Difonzo, Rockville, MD (US);

Steven E. Noel, Woodbridge, VA (US);

Assignee:

The MITRE Corporation, McLean, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/57 (2013.01); G06F 16/2452 (2019.01); G06F 16/901 (2019.01); G06F 16/9032 (2019.01); G06F 40/169 (2020.01); G06F 40/295 (2020.01); G06F 21/55 (2013.01);
U.S. Cl.
CPC ...
G06F 21/577 (2013.01); G06F 16/24522 (2019.01); G06F 16/9024 (2019.01); G06F 16/90332 (2019.01); G06F 40/169 (2020.01); G06F 40/295 (2020.01); G06F 21/552 (2013.01); G06F 2221/034 (2013.01);
Abstract

Methods and systems for translating a natural language user query into a graph database query are described. In some instances, the methods may comprise receiving a first input from a user comprising a natural language query regarding data in a graph database; processing the natural language query using a named entity recognition (NER) machine learning model to extract named entities from the natural language query and tag them according to an entity type; processing the tagged named entities using a semantic similarity algorithm to identify corresponding nodes and edges, and their associated properties, in the graph database; processing the natural language query using an intent classification machine learning model to determine a user intent for the natural language query; and applying a user intent-based template to the identified nodes and edges to formulate a graph database query that corresponds to the natural language query.


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