18753502. DETERMINING DATA CATEGORIZATIONS BASED ON AN ONTOLOGY AND A MACHINE-LEARNING MODEL simplified abstract (Capital One Services, LLC)

DETERMINING DATA CATEGORIZATIONS BASED ON AN ONTOLOGY AND A MACHINE-LEARNING MODEL

Organization Name

Capital One Services, LLC

Inventor(s)

Kai-Wen Chen of Arlington VA (US)

Brian Donohue of Warrenton VA (US)

Xuemei Pan of Great Falls VA (US)

Nirmal Kumar Raajan of Irving TX (US)

Bethany Sehon of Oakton VA (US)

Naresh Singh of Frisco TX (US)

Xiaofei Wang of Bellevue WA (US)

Albert T. Zellers of McLean VA (US)

Weidan Zhou of Frisco TX (US)

DETERMINING DATA CATEGORIZATIONS BASED ON AN ONTOLOGY AND A MACHINE-LEARNING MODEL - A simplified explanation of the abstract

This abstract first appeared for US patent application 18753502 titled 'DETERMINING DATA CATEGORIZATIONS BASED ON AN ONTOLOGY AND A MACHINE-LEARNING MODEL

• • Simplified Explanation:**

This patent application relates to methods, systems, and apparatuses that determine categories associated with a dataset based on tags and descriptions. The determination can be done by searching an ontology or using a machine-learning model. Once the categories are determined, they can be used to modify or validate the dataset.

• • Key Features and Innovation:**
• Determining categories associated with a dataset based on tags and descriptions.
• Utilizing an ontology or machine-learning model for the determination process.
• Using the determined categories to modify or validate the dataset.

• • Potential Applications:**

This technology can be applied in various fields such as data management, information retrieval, and content categorization.

• • Problems Solved:**

This technology addresses the challenge of efficiently categorizing and organizing large datasets based on tags and descriptions.

• • Benefits:**
• Streamlining the process of categorizing datasets.
• Enhancing the accuracy of dataset categorization.
• Improving dataset management and organization.

• • Commercial Applications:**
• Title: Enhanced Data Categorization Technology for Improved Information Management
• This technology can be utilized by companies dealing with large volumes of data to improve data organization and retrieval processes, leading to increased efficiency and productivity.

• • Questions about Data Categorization Technology:**

1. How does this technology improve the accuracy of dataset categorization? 2. What are the potential implications of using machine-learning models for determining dataset categories?

Original Abstract Submitted

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.