Patents by Inventor Irfan Nuri Karaca

Irfan Nuri Karaca 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).

  • PRE-EMPTIVE GRAPH SEARCH FOR GUIDED NATURAL LANGUAGE INTERACTIONS WITH CONNECTED DATA SYSTEMS
    Publication number: 20230014700
    Abstract: Techniques are disclosed to provide guided natural language interactions with a connected data system, such as a graph database. In various embodiments, natural language input associated with a graph database query associated with a graph data set is received. The natural language input is processed to generate a set of candidate strings. At least a subset of the candidate strings is mapped to an entity in the graph data set. The entity and data comprising the graph data are used set to determine a candidate graph pattern associated with the graph database query. The candidate graph pattern is used to guide a user associated with the natural language input to refine the graph database query.
    Type: Application
    Filed: September 8, 2022
    Publication date: January 19, 2023
    Inventors: Irfan Nuri Karaca, Alistair Philip Campbell Jones, James Webber
  • Pre-emptive graph search for guided natural language interactions with connected data systems
    Patent number: 11475065
    Abstract: Techniques are disclosed to provide guided natural language interactions with a connected data system, such as a graph database. In various embodiments, natural language input associated with a graph database query associated with a graph data set is received. The natural language input is processed to generate a set of candidate strings. At least a subset of the candidate strings is mapped to an entity in the graph data set. The entity and data comprising the graph data are used set to determine a candidate graph pattern associated with the graph database query. The candidate graph pattern is used to guide a user associated with the natural language input to refine the graph database query.
    Type: Grant
    Filed: October 29, 2019
    Date of Patent: October 18, 2022
    Assignee: Neo4j Sweden AB
    Inventors: Irfan Nuri Karaca, Alistair Philip Campbell Jones, James Webber
  • PRE-EMPTIVE GRAPH SEARCH FOR GUIDED NATURAL LANGUAGE INTERACTIONS WITH CONNECTED DATA SYSTEMS
    Publication number: 20210124782
    Abstract: Techniques are disclosed to provide guided natural language interactions with a connected data system, such as a graph database. In various embodiments, natural language input associated with a graph database query associated with a graph data set is received. The natural language input is processed to generate a set of candidate strings. At least a subset of the candidate strings is mapped to an entity in the graph data set. The entity and data comprising the graph data are used set to determine a candidate graph pattern associated with the graph database query. The candidate graph pattern is used to guide a user associated with the natural language input to refine the graph database query.
    Type: Application
    Filed: October 29, 2019
    Publication date: April 29, 2021
    Inventors: Irfan Nuri Karaca, Alistair Philip Campbell Jones, James Webber