Developing An Item Data Model For An Item

Patent №

US 10,936,675

Granted

2021-03-02

Filed 2016

Owner

WALMART STORES, INC.

AI components

4

nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15379305

The present invention extends to methods, systems, and computer program products for developing an item data model for an item. Aspects of the invention can automate the process of data collection of “facts” for “items” that information is needed about. Facts can be organized and normalized to eliminate redundant facts, and interpret what is found. Data requirements extraction and automated modeling using a combination of data virtualization, data analytics, extract, transform, and load (ETL), web crawlers, and reverse engineering systems, can be used along with other technologies to develop an item model. A model owner feeds a curating module with the information for locating the facts to be used, and initiating the modeling process. Existing data structures, websites, vendor input, etc. can be described to the import process, and an item model is produced. The model can be imported into existing modeling tools for viewing, or viewed as XML.

Natural languageKnowledge representationPlanningAI hardwareG06Q 30/0623G06F 16/285G06F 16/951G06F 30/00G06Q 30/06G06F 2111/20

AI classification

Planning1.00
Natural language1.00
Knowledge representation1.00
AI hardware0.57
Machine learning0.31
Vision0.01
Speech0.00
Evolutionary computation0.00

Ownership

WALMART STORES, INC.

assignment · 407380195

Assignors

HIGH, DONALD, GRIGGS, GARY DEWAYNE, ATCHLEY, MICHAEL DEAN

On an employer assignment, the assignors are typically the inventors.

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