Loading patent…
AssigneeInternational Business Machines Corporation
InventorsPulkit Agarwal, Santanu Chakrabarty, Ajitha Chandran, Siddhant Lahoti
Estimating the term…
A computer-implemented method for representing and storing data in an extendable graph data structure using artificial intelligence includes obtaining business requirements data, business workflow data, and dictionary data. A relationship between one or more entities in the obtained business requirement data and the business workflow data is identified using the obtained dictionary data and applying a natural language processing technique and topic based trend identification from existing entities and associated attributes. An extendable graph data structure represented by an enriched adjacency matrix for the identified relationship between the one or more entities is generated and stored. One or more trends are identified using the stored graph data structure.
A method comprising:
3, The method as set forth in claim 1 wherein the graph data structure is generated from an adjacency matrix, wherein the adjacency matrix comprises a recommendation dataset for generating the graph data structure, and wherein the generated adjacency matrix is refined based on one or more trend patterns associated with identified one or more topics.
A non-transitory machine readable medium having stored thereon instructions comprising machine executable code which when executed by at least one machine causes the machine to:
A data storage computing system, comprising a memory comprising programmed instructions stored in the memory and one or more processors configured to be capable of executing the programmed instructions stored in the memory to:
Dependencies are inferred from the claim text.