Patents by Inventor Matthew Bernard Kujawinski

Matthew Bernard Kujawinski 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).

  • Data virtualization using leveraged semantic knowledge in a knowledge graph
    Patent number: 11068512
    Abstract: A knowledge graph virtualization system (KGVS) implements data virtualization techniques using semantic knowledge when parsing a knowledge graph to return results to a query. The data virtualization using semantic knowledge enable end users and applications to describe desired output without detailed knowledge of underlying data storage, schema, and relationships.
    Type: Grant
    Filed: April 24, 2019
    Date of Patent: July 20, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Teresa Sheausan Tung, Colin Anil Puri, Zhijie Wang, Matthew Bernard Kujawinski
  • Orchestrated hydration of a knowledge graph
    Patent number: 10614086
    Abstract: A knowledge data management system (KDMS) implements data refinement orchestration, resolution, and refinement to provide a reusable and generic solution to ingest and link data via relationships and properties when constructing a knowledge graph. The KDMS thus operates to break down existing data storage silos by normalizing and integrating data with a uniform semantic schema, which results in more accurate and faster knowledge graph construction.
    Type: Grant
    Filed: November 21, 2018
    Date of Patent: April 7, 2020
    Assignee: Accenture Global Solutions Limited
    Inventors: Teresa Sheausan Tung, Colin Anil Puri, Zhijie Wang, Matthew Bernard Kujawinski
  • DATA VIRTUALIZATION USING LEVERAGED SEMANTIC KNOWLEDGE IN A KNOWLEDGE GRAPH
    Publication number: 20200034375
    Abstract: A knowledge graph virtualization system (KGVS) implements data virtualization techniques using semantic knowledge when parsing a knowledge graph to return results to a query. The data virtualization using semantic knowledge enable end users and applications to describe desired output without detailed knowledge of underlying data storage, schema, and relationships.
    Type: Application
    Filed: April 24, 2019
    Publication date: January 30, 2020
    Applicant: Accenture Global Solutions Limited
    Inventors: Teresa Sheausan Tung, Colin Anil Puri, Zhijie Wang, Matthew Bernard Kujawinski
  • ORCHESTRATED HYDRATION OF A KNOWLEDGE GRAPH
    Publication number: 20200012738
    Abstract: A knowledge data management system (KDMS) implements data refinement orchestration, resolution, and refinement to provide a reusable and generic solution to ingest and link data via relationships and properties when constructing a knowledge graph. The KDMS thus operates to break down existing data storage silos by normalizing and integrating data with a uniform semantic schema, which results in more accurate and faster knowledge graph construction.
    Type: Application
    Filed: November 21, 2018
    Publication date: January 9, 2020
    Applicant: Accenture Global Solutions Limited
    Inventors: Teresa Sheausan Tung, Colin Anil Puri, Zhijie Wang, Matthew Bernard Kujawinski
  • Data virtualization using leveraged semantic knowledge in a knowledge graph
    Patent number: 10296524
    Abstract: A knowledge graph virtualization system (KGVS) implements data virtualization techniques using semantic knowledge when parsing a knowledge graph to return results to a query. The data virtualization using semantic knowledge enable end users and applications to describe desired output without detailed knowledge of underlying data storage, schema, and relationships.
    Type: Grant
    Filed: July 27, 2018
    Date of Patent: May 21, 2019
    Assignee: Accenture Global Solutions Limited
    Inventors: Teresa Sheausan Tung, Colin Anil Puri, Zhijie Wang, Matthew Bernard Kujawinski