View source for 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==

[[:Category:Capital One Services, LLC|Capital One Services, LLC]]


[[Category:Capital One Services, LLC]]

==Inventor(s)==

[[:Category:Kai-Wen Chen of Arlington VA (US)|Kai-Wen Chen of Arlington VA (US)]][[Category:Kai-Wen Chen of Arlington VA (US)]]

[[:Category:Brian Donohue of Warrenton VA (US)|Brian Donohue of Warrenton VA (US)]][[Category:Brian Donohue of Warrenton VA (US)]]

[[:Category:Xuemei Pan of Great Falls VA (US)|Xuemei Pan of Great Falls VA (US)]][[Category:Xuemei Pan of Great Falls VA (US)]]

[[:Category:Nirmal Kumar Raajan of Irving TX (US)|Nirmal Kumar Raajan of Irving TX (US)]][[Category:Nirmal Kumar Raajan of Irving TX (US)]]

[[:Category:Bethany Sehon of Oakton VA (US)|Bethany Sehon of Oakton VA (US)]][[Category:Bethany Sehon of Oakton VA (US)]]

[[:Category:Naresh Singh of Frisco TX (US)|Naresh Singh of Frisco TX (US)]][[Category:Naresh Singh of Frisco TX (US)]]

[[:Category:Xiaofei Wang of Bellevue WA (US)|Xiaofei Wang of Bellevue WA (US)]][[Category:Xiaofei Wang of Bellevue WA (US)]]

[[:Category:Albert T. Zellers of McLean VA (US)|Albert T. Zellers of McLean VA (US)]][[Category:Albert T. Zellers of McLean VA (US)]]

[[:Category:Weidan Zhou of Frisco TX (US)|Weidan Zhou of Frisco TX (US)]][[Category: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.



[[Category:G06F16/901]]
[[Category:G06F16/36]]
[[Category:G06F16/9038]]
[[Category:CPC_G06F16/901]]