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US 12,488,310 B2Granted
Data network, system and method for data ingestion in a data network
AssigneeNB Ventures, Inc.
InventorsSubhash Makhija, Huzaifa Shabbir Matawala, Shivendra Singh Malik, Mukesh Rama Kunder
Life of this patent
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Abstract
The present invention provides a data network, a data ingestion system and a method of data ingestion in the data network for a supply chain management enterprise application. The data network includes one or more data objects of different data types received from different data sources structured on multiple distinct architecture, connected to each other for executing multiple functions in the enterprise application.
Claims29
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.
5 more elements
A system for data ingestion in a data network, the system comprises:
- a server for receiving one or more data objects from at least one data source;
- a processor configured to extract by a data extraction process, one or more data elements and one or more data attributes associated with the one or more data objects;
- a historical data elements database configured to store one or more historical data elements wherein the processor coupled to an AI engine processes 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 with the one or more historical data elements based on one or more data models associated with the historical data elements database;
- and
- a data analyzer configured for enabling the processor to link 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 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 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.
5 more elements
Dependencies are inferred from the claim text.