US 12,488,310 B2
Data network, system and method for data ingestion in a data network
Subhash Makhija, Westfield, NJ (US); Huzaifa Shabbir Matawala, Princeton, NJ (US); Shivendra Singh Malik, Vasco-da-Gama (IN); and Mukesh Rama Kunder, Navi Mumbai (IN)
Assigned to NB Ventures, Inc.
Filed by NB Ventures, Inc., Clark, NJ (US)
Filed on Oct. 15, 2021, as Appl. No. 17/502,530.
Prior Publication US 2023/0119881 A1, Apr. 20, 2023
Int. Cl. G06Q 10/087 (2023.01); G06F 18/214 (2023.01); G06Q 10/0835 (2023.01); G06V 30/19 (2022.01)
CPC G06Q 10/087 (2013.01) [G06F 18/214 (2023.01); G06Q 10/0835 (2013.01)] 29 Claims
OG exemplary drawing
 
1. A method of data ingestion in a data network, the method comprises:
receiving at a server, one or more data objects from at least one data source;
extracting by a data extraction process executed by a processor, one or more data elements and one or more data attributes associated with the one or more data objects;
processing, by the processor coupled to an AI engine, the extracted one or more data elements and the one or more data attributes to identify at least one relationship of the one or more extracted data attribute and the one or more data elements with one or more historical data elements stored in a historical data elements database wherein the at least one relationship is identified based on one or more data models associated with historical data elements database; and
linking, by the processor and a data analyzer, the processed one or more data attribute to one or more historical data elements and assigning an identifier based on the at least one relationship to the one or more processed data elements of the data object associated with the data attribute before ingesting the data element in the data network as a data element node, wherein the data extraction process for extracting one or more data attributes and one or more data elements associated with the one or more data objects includes the steps of;
identifying a type of data object; and
sending the data object to at least one data recognition training model for identification of the one or more data attribute wherein the data recognition training model processes the data object based on prediction analysis by a bot for obtaining the data attribute and one or more data elements with a confidence score, wherein the data network is a graphical data network configured to process a document data model, a relationship data model, and a graphical data model structured data objects wherein the AI engine coupled to the processor is configured to enable the network to assign the identifier for the one or more data elements based on the data attributes associated with the data objects.