US 11,886,395 B2
Processes and systems for onboarding data for a digital duplicate
Seshadri Guha, Peoria, IL (US); Vinay Sikka, Peoria, IL (US); and Subbarao Turlapati, Peoria, IL (US)
Assigned to TADA Cognitive Solutions, LLC, Peoria, IL (US)
Filed by TADA Cognitive Solutions, LLC, Peoria, IL (US)
Filed on Oct. 3, 2022, as Appl. No. 17/958,494.
Application 17/958,494 is a continuation of application No. 16/544,701, filed on Aug. 19, 2019, granted, now 11,461,293.
Prior Publication US 2023/0177025 A1, Jun. 8, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 16/00 (2019.01); G06F 16/21 (2019.01); G06F 16/25 (2019.01); G06F 16/215 (2019.01)
CPC G06F 16/213 (2019.01) [G06F 16/212 (2019.01); G06F 16/215 (2019.01); G06F 16/258 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computing system comprising:
a network interface;
at least one processor;
a non-transitory computer-readable medium; and
program instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to perform functions including:
retrieving a data model for a data source;
establishing at least one filter operation or at least one clean operation that modifies an aspect of the retrieved data model;
establishing, based on the established at least one filter operation or at least one clean operation, at least one second filter operation or at least one second clean operation that modifies a second aspect of the retrieved data model;
onboarding underlying data from the data source while applying the established at least one filter operation or at least one clean operation and the established at least one second filter operation or at least one second clean operation, so as to form modified underlying data;
defining at least one transformation operation to apply to a portion of the modified underlying data that has been onboarded; and
applying the at least one transformation operation to the portion of the modified underlying data to thereby assign the data to a semantic network, the semantic network comprising conceptual data components and associative data components.