Patents by Inventor Siddhant Lahoti

Siddhant Lahoti has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Methods for representing and storing data in a graph data structure using artificial intelligence
    Patent number: 11520828
    Abstract: 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.
    Type: Grant
    Filed: July 24, 2020
    Date of Patent: December 6, 2022
    Assignee: International Business Machines Corporation
    Inventors: Pulkit Agarwal, Santanu Chakrabarty, Ajitha C, Siddhant Lahoti
  • METHODS FOR REPRESENTING AND STORING DATA IN A GRAPH DATA STRUCTURE USING ARTIFICIAL INTELLIGENCE
    Publication number: 20220027410
    Abstract: 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.
    Type: Application
    Filed: July 24, 2020
    Publication date: January 27, 2022
    Inventors: Pulkit Agarwal, Santanu Chakrabarty, Ajitha Chandran, Siddhant Lahoti