Invention Grant
- Patent Title: Determining data categorizations based on an ontology and a machine-learning model
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Application No.: US18055497Application Date: 2022-11-15
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Publication No.: US12056188B2Publication Date: 2024-08-06
- Inventor: Kai-Wen Chen , Brian Donohue , Xuemei Pan , Nirmal Kumar Raajan , Bethany Sehon , Naresh Singh , Xiaofei Wang , Albert T. Zellers , Weidan Zhou
- Applicant: Capital One Services, LLC
- Applicant Address: US VA McLean
- Assignee: Capital One Services, LLC
- Current Assignee: Capital One Services, LLC
- Current Assignee Address: US VA McLean
- Agency: Banner & Witcoff, Ltd.
- Main IPC: G06F16/901
- IPC: G06F16/901 ; G06F16/36 ; G06F16/9038

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.
Public/Granted literature
- US20230081737A1 DETERMINING DATA CATEGORIZATIONS BASED ON AN ONTOLOGY AND A MACHINE-LEARNING MODEL Public/Granted day:2023-03-16
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