Patents by Inventor Sai Deepak Tunuguntla

Sai Deepak Tunuguntla 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).

  • Patent number: 10002159
    Abstract: The embodiments of the present invention provide a computer-implemented method and system for translating user keywords into semantic queries based on domain vocabulary. The system receives the user keywords and search for the concepts. The concepts are transformed into a connected graph. The user keywords are translated into precise access paths based on the information relationship described in conceptual entity relationship models and then converts these paths into logic based queries. It bridges the semantic gap between user keywords and logic based structured queries. It enables users to interact with the semantic system by articulating the information in a structured query language. It improves the relevance of search results by incorporating semantic technology to drive the mechanics of the search solution.
    Type: Grant
    Filed: March 14, 2014
    Date of Patent: June 19, 2018
    Assignee: Infosys Limited
    Inventors: John Kuriakose, Sai Deepak Tunuguntla
  • Publication number: 20140379755
    Abstract: The embodiments of the present invention provide a computer-implemented method and system for translating user keywords into semantic queries based on domain vocabulary. The system receives the user keywords and search for the concepts. The concepts are transformed into a connected graph. The user keywords are translated into precise access paths based on the information relationship described in conceptual entity relationship models and then converts these paths into logic based queries. It bridges the semantic gap between user keywords and logic based structured queries. It enables users to interact with the semantic system by articulating the information in a structured query language. It improves the relevance of search results by incorporating semantic technology to drive the mechanics of the search solution.
    Type: Application
    Filed: March 14, 2014
    Publication date: December 25, 2014
    Inventors: John Kuriakose, Sai Deepak Tunuguntla