Patents by Inventor Geoffrey William Watters

Geoffrey William Watters 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).

  • Publication number: 20230055129
    Abstract: Systems, devices, and methods discussed herein are directed to utilizing patterns and logical entities to identify and maintain relationships between data assets. In some embodiments, a query comprising a logical entity qualifier, one or more pattern identifiers that indicate a pattern, and a data set identifier may be received. The pattern is executed against a data set corresponding to the data set identifier and one or more logical entities are generated based on this execution. A logical entity may be a label that represents a set of one or more data assets in a data set. Assets that share a label can share attributes that are described by the label. The label corresponding to each logical entity may be presented, where each label represents a different set of data assets which share a common trait. In some embodiments, the user may define a pattern by which commonality may be assessed.
    Type: Application
    Filed: November 3, 2022
    Publication date: February 23, 2023
    Applicant: Oracle International Corporation
    Inventors: Ganesh Seetharaman, Robert Velisar, Geoffrey William Watters, Yuda Dai
  • Patent number: 11520782
    Abstract: Systems, devices, and methods discussed herein are directed to utilizing patterns and logical entities to identify and maintain relationships between data assets. In some embodiments, a query comprising a logical entity qualifier, one or more pattern identifiers that indicate a pattern, and a data set identifier may be received. The pattern is executed against a data set corresponding to the data set identifier and one or more logical entities are generated based on this execution. A logical entity may be a label that represents a set of one or more data assets in a data set. Assets that share a label can share attributes that are described by the label. The label corresponding to each logical entity may be presented, where each label represents a different set of data assets which share a common trait. In some embodiments, the user may define a pattern by which commonality may be assessed.
    Type: Grant
    Filed: March 30, 2021
    Date of Patent: December 6, 2022
    Assignee: ORACLE INTERNATIONAL CORPORATION
    Inventors: Ganesh Seetharaman, Robert Velisar, Geoffrey William Watters, Yuda Dai
  • Publication number: 20220114168
    Abstract: Systems, devices, and methods discussed herein are directed to utilizing patterns and logical entities to identify and maintain relationships between data assets. In some embodiments, a query comprising a logical entity qualifier, one or more pattern identifiers that indicate a pattern, and a data set identifier may be received. The pattern is executed against a data set corresponding to the data set identifier and one or more logical entities are generated based on this execution. A logical entity may be a label that represents a set of one or more data assets in a data set. Assets that share a label can share attributes that are described by the label. The label corresponding to each logical entity may be presented, where each label represents a different set of data assets which share a common trait. In some embodiments, the user may define a pattern by which commonality may be assessed.
    Type: Application
    Filed: March 30, 2021
    Publication date: April 14, 2022
    Applicant: Oracle International Corporation
    Inventors: Ganesh Seetharaman, Robert Velisar, Geoffrey William Watters, Yuda Dai