Data network
OwnerSubhash Makhija, Huzaifa Shabbir Matawala +2inventors
InventorsSubhash Makhija, Huzaifa Shabbir Matawala, Shivendra Singh Malik, Mukesh Rama Kunder
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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.
Claims22
A data network comprises:
- a server configured to receive one or more data objects from at least one data source;
- one or more data element nodes configured to create one or more sub-network through a graphical data structure wherein one or more data elements are extracted from the one or more data objects for analysis to identify the one or more data elements to be ingested as one or more data element node of the data network;
- one or more data connectors of the graphical data structure configured for connecting the one or more data element node to form the data network wherein the one or more data connectors include at least one identifier configured to identify the one or more data element node of the data network based on at least one relationship between one or more data attributes associated with the one or more data object and one or more historical data element;
- and
- a processor coupled to an Artificial intelligence (AI) engine configured for processing the one or more data objects based on ensemble of one or more data models including graphical data model, document data model and relationship data model wherein the one or more data attribute of the one or more data objects are linked to the one or more historical data elements and the identifier is assigned 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 to create the data network.
A method comprising:
- receiving one or more data objects from at least one data source at a server;
- creating by one or more data element nodes, one or more sub-network through a graphical data structure wherein one or more data elements are extracted from the one or more data objects for analysis to identify the one or more data elements to be ingested as one or more data element node of the data network;
- connecting by one or more data connectors of the graphical data structure, the one or more data element node to form the data network wherein the one or more data connectors include at least one identifier configured to identify the one or more data element node of the data network based on at least one relationship between one or more data attributes associated with the one or more data object and one or more historical data element;
- and
- processing by a processor coupled to an AI engine, the one or more data objects based on ensemble of one or more data models including graphical data model, document data model and relationship data model wherein the one or more data attribute of the one or more data objects are linked to the one or more historical data elements and the identifier is assigned 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 to create the data network.
A non-transitory computer program product for data ingestion in a data network, the computer program product comprising a non-transitory computer readable storage medium having instructions embodied therewith, the instructions when executed by one or more processors causes the one or more processors to:
- receive one or more data objects from at least one data source at a server;
- create by one or more data element nodes, one or more sub-network through a graphical data structure wherein one or more data elements are extracted from the one or more data objects for analysis to identify the one or more data elements to be ingested as one or more data element node of the data network;
- connect by one or more data connectors of the graphical data structure, the one or more data element node to form the data network wherein the one or more data connectors include at least one identifier configured to identify the one or more data element node of the data network based on at least one relationship between one or more data attributes associated with the one or more data object and one or more historical data element;
- and
- process by a processor coupled to an AI engine, the one or more data objects based on ensemble of one or more data models including graphical data model, document data model and relationship data model wherein the one or more data attribute of the one or more data objects are linked to the one or more historical data elements and the identifier is assigned 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 to create the data network.
Dependencies are inferred from the claim text.