Patents by Inventor Alim Sukrucan Gokkaya

Alim Sukrucan Gokkaya 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: 11604790
    Abstract: A conversational analytics system may provide for a conversational interface to any relational database. A controlled natural language may be constructed in an automated manner from a given database (e.g., from schema and values associated with a relational database). For instance, a user natural language expression may be converted to an expression in the constructed controlled natural language and the controlled natural language expression may be converted into a sequence of one or more queries in a query language (e.g., queries in structured query language (SQL)). Such an intermediate controlled natural language may provide queries without ambiguity (e.g., as each expression or phrase in the controlled natural language may be mapped to one sequence of SQL queries). Accordingly, any natural language user utterance that ultimately follows the controlled natural language may be automatically converted into a sequence of one or more SQL queries sent to the database.
    Type: Grant
    Filed: August 31, 2020
    Date of Patent: March 14, 2023
    Assignee: UNSCRAMBL INC
    Inventors: Anand Ranganathan, Alim Sukrucan Gokkaya, Benjamin Arar, Bugra Gedik, Merter Sualp
  • Publication number: 20220067037
    Abstract: A conversational analytics system may provide for a conversational interface to any relational database. A controlled natural language may be constructed in an automated manner from a given database (e.g., from schema and values associated with a relational database). For instance, a user natural language expression may be converted to an expression in the constructed controlled natural language and the controlled natural language expression may be converted into a sequence of one or more queries in a query language (e.g., queries in structured query language (SQL)). Such an intermediate controlled natural language may provide queries without ambiguity (e.g., as each expression or phrase in the controlled natural language may be mapped to one sequence of SQL queries). Accordingly, any natural language user utterance that ultimately follows the controlled natural language may be automatically converted into a sequence of one or more SQL queries sent to the database.
    Type: Application
    Filed: August 31, 2020
    Publication date: March 3, 2022
    Inventors: Anand Ranganathan, Alim Sukrucan Gokkaya, Benjamin Arar, Bugra Gedik, Merter Sualp