Brian C Donohue

US Patent:

20230081737, Mar 16, 2023

Filed:

Nov 15, 2022

Appl. No.:

18/055497

Inventors:

- McLean VA, US
Brian Donohue - Warrenton VA, US
Xuemei Pan - Great Falls VA, US
Nirmal Kumar Raajan - Irving TX, US
Bethany Sehon - Oakton VA, US
Naresh Singh - Frisco TX, US
Xiaofei Wang - Bellevue WA, US
Albert T. Zellers - McLean VA, US
Weidan Zhou - Frisco TX, US

International Classification:

G06F 16/901
G06F 16/36
G06F 16/9038

Abstract:

Aspects described herein may relate to methods, systems, and apparatuses that determine one or more categories associated with a dataset, or a portion thereof. The determination may be performed based on one or more tags associated with the dataset and/or a description associated with the dataset. Further, the determination may be performed by searching an ontology based on the one or more tags and/or the description. The determination may be performed by using a machine-learning model based on the one or more tags and/or the description. Once the one or more categories associated with the dataset are determined, the one or more categories may be used as a basis for modifying the dataset and/or validating the dataset.

US Patent:

20200410000, Dec 31, 2020

Filed:

Jun 26, 2020

Appl. No.:

16/913722

Inventors:

- McLean VA, US
Brian Donohue - Warrenton VA, US
Xuemei Pan - Great Falls VA, US
Nirmal Kumar Raajan - Irving TX, US
Bethany Sehon - Oakton VA, US
Naresh Singh - Frisco TX, US
Xiaofei Wang - Bellevue WA, US
Albert T. Zellers - McLean VA, US
Weidan Zhou - Frisco TX, US

International Classification:

G06F 16/901
G06F 16/9038
G06F 16/36

Abstract:

Aspects described herein may relate to methods, systems, and apparatuses that determine one or more categories associated with a dataset, or a portion thereof. The determination may be performed based on one or more tags associated with the dataset and/or a description associated with the dataset. Further, the determination may be performed by searching an ontology based on the one or more tags and/or the description. The determination may be performed by using a machine-learning model based on the one or more tags and/or the description. Once the one or more categories associated with the dataset are determined, the one or more categories may be used as a basis for modifying the dataset and/or validating the dataset.