Patents by Inventor Erinc Merdivan

Erinc Merdivan 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).

  • Inferred facts discovered through knowledge graph derived contextual overlays
    Patent number: 10599983
    Abstract: An approach is provided in which a knowledge manager identifies a first cohort type and a second cohort type corresponding to an entity included in a question. The knowledge manager determines inferred states to the question by comparing a first set of cohort attributes corresponding to a first cohort type against entity attributes corresponding to the question. In turn, the knowledge manager generates possible answers by comparing the inferred states against a second set of cohort attributes corresponding to a second cohort type.
    Type: Grant
    Filed: March 22, 2016
    Date of Patent: March 24, 2020
    Assignee: International Business Machines Corporation
    Inventors: Erinc Merdivan, John A. Riendeau, Michael D. Whitley, Le Zhang
  • Knowledge canvassing using a knowledge graph and a question and answer system
    Patent number: 10586156
    Abstract: Mechanisms for processing a knowledge canvassing request receive a request specifying an entity of interest from an originator of the request and analyze the request to extract a feature of the request. The mechanisms determine whether the request is a targeted natural language question to be answered or a knowledge canvassing request, based on the extracted feature. In response to determining that the request is a knowledge canvassing request, the mechanisms process the request by identifying entities represented in a knowledge graph data structure as being related to the entity of interest. The mechanisms output results of the processing of the request to the originator of the request.
    Type: Grant
    Filed: June 25, 2015
    Date of Patent: March 10, 2020
    Assignee: International Business Machines Corporation
    Inventors: Erinc Merdivan, John A. Riendeau, Jadran Sirotkovic, Michael D. Whitley, Le Zhang
  • Inferred facts discovered through knowledge graph derived contextual overlays
    Patent number: 10565508
    Abstract: An approach is provided in which a knowledge manager identifies a first cohort type and a second cohort type corresponding to an entity included in a question. The knowledge manager determines inferred states to the question by comparing a first set of cohort attributes corresponding to a first cohort type against entity attributes corresponding to the question. In turn, the knowledge manager generates possible answers by comparing the inferred states against a second set of cohort attributes corresponding to a second cohort type.
    Type: Grant
    Filed: December 12, 2014
    Date of Patent: February 18, 2020
    Assignee: International Business Machines Corporation
    Inventors: Erinc Merdivan, John A. Riendeau, Michael D. Whitley, Le Zhang
  • Knowledge Canvassing Using a Knowledge Graph and a Question and Answer System
    Publication number: 20160378851
    Abstract: Mechanisms are provided for processing a knowledge canvassing request. The mechanisms receive a request specifying an entity of interest from an originator of the request and analyze the request to extract a feature of the request. The mechanisms determine whether the request is a targeted natural language question to be answered or a knowledge canvassing request, based on the extracted feature. In response to determining that the request is a knowledge canvassing request, the mechanisms process the request by identifying entities represented in a knowledge graph data structure as being related to the entity of interest. The mechanisms output results of the processing of the request to the originator of the request.
    Type: Application
    Filed: June 25, 2015
    Publication date: December 29, 2016
    Inventors: Erinc Merdivan, John A. Riendeau, Jadran Sirotkovic, Michael D. Whitley, Le Zhang
  • Knowledge Canvassing Using a Knowledge Graph and a Question and Answer System
    Publication number: 20160379120
    Abstract: Mechanisms are provided for processing a knowledge canvassing request. The mechanisms receive a request specifying an entity of interest from an originator of the request and analyze the request to extract a feature of the request. The mechanisms determine whether the request is a targeted natural language question to be answered or a knowledge canvassing request, based on the extracted feature. In response to determining that the request is a knowledge canvassing request, the mechanisms process the request by identifying entities represented in a knowledge graph data structure as being related to the entity of interest. The mechanisms output results of the processing of the request to the originator of the request.
    Type: Application
    Filed: September 21, 2015
    Publication date: December 29, 2016
    Inventors: Erinc Merdivan, John A. Riendeau, Jadran Sirotkovic, Michael D. Whitley, Le Zhang
  • Inferred Facts Discovered through Knowledge Graph Derived Contextual Overlays
    Publication number: 20160203412
    Abstract: An approach is provided in which a knowledge manager identifies a first cohort type and a second cohort type corresponding to an entity included in a question. The knowledge manager determines inferred states to the question by comparing a first set of cohort attributes corresponding to a first cohort type against entity attributes corresponding to the question. In turn, the knowledge manager generates possible answers by comparing the inferred states against a second set of cohort attributes corresponding to a second cohort type.
    Type: Application
    Filed: March 22, 2016
    Publication date: July 14, 2016
    Inventors: Erinc Merdivan, John A. Riendeau, Michael D. Whitley, Le Zhang
  • Inferred Facts Discovered through Knowledge Graph Derived Contextual Overlays
    Publication number: 20160171376
    Abstract: An approach is provided in which a knowledge manager identifies a first cohort type and a second cohort type corresponding to an entity included in a question. The knowledge manager determines inferred states to the question by comparing a first set of cohort attributes corresponding to a first cohort type against entity attributes corresponding to the question. In turn, the knowledge manager generates possible answers by comparing the inferred states against a second set of cohort attributes corresponding to a second cohort type.
    Type: Application
    Filed: December 12, 2014
    Publication date: June 16, 2016
    Inventors: Erinc Merdivan, John A. Riendeau, Michael D. Whitley, Le Zhang