Patents by Inventor Blake LASSITER

Blake LASSITER 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).

  • METHOD AND SYSTEM FOR AUTOMATICALLY TAGGING DATA
    Publication number: 20220318221
    Abstract: Systems and methods relate to auto-tagging of data in a data lake or a data storage. Generating a statistical summary of the data lake and interactively receiving data in a selected column of an exemplar data addresses an issue of efficiently and accurately auto-tagging data in a data lake. The present disclosure automatically generates a statistical summary of the data lake using a lightweight off-line processing. A graphical user interface interactively receives an exemplar data file with a selection of a column in the exemplar data file. A list of candidate data-tagging patterns is generated based on the statistical summary and updates the list by removing candidate data-tagging patterns that under-generalize the data. The present disclosure determines a data-tagging pattern by selecting a candidate data-tagging profile from the list based on having the least number of matching columns in the data lake.
    Type: Application
    Filed: June 23, 2022
    Publication date: October 6, 2022
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Yeye HE, Jie SONG, Yue WANG, Surajit CHAUDHURI, Vishal Kumar Seshagirirao ANIL, Yaron Y. GOLAND, Gaurav MALHOTRA, Blake LASSITER
  • Method and system for automatically tagging data
    Patent number: 11397716
    Abstract: Systems and methods relate to auto-tagging of data in a data lake or a data storage. Generating a statistical summary of the data lake and interactively receiving data in a selected column of an exemplar data addresses an issue of efficiently and accurately auto-tagging data in a data lake. The present disclosure automatically generates a statistical summary of the data lake using a lightweight off-line processing. A graphical user interface interactively receives an exemplar data file with a selection of a column in the exemplar data file. A list of candidate data-tagging patterns is generated based on the statistical summary and updates the list by removing candidate data-tagging patterns that under-generalize the data. The present disclosure determines a data-tagging pattern by selecting a candidate data-tagging profile from the list based on having the least number of matching columns in the data lake.
    Type: Grant
    Filed: November 19, 2020
    Date of Patent: July 26, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Yeye He, Jie Song, Yue Wang, Surajit Chaudhuri, Vishal Kumar Seshagirirao Anil, Yaron Y. Goland, Gaurav Malhotra, Blake Lassiter
  • METHOD AND SYSTEM FOR AUTOMATICALLY TAGGING DATA
    Publication number: 20220156242
    Abstract: Systems and methods relate to auto-tagging of data in a data lake or a data storage. Generating a statistical summary of the data lake and interactively receiving data in a selected column of an exemplar data addresses an issue of efficiently and accurately auto-tagging data in a data lake. The present disclosure automatically generates a statistical summary of the data lake using a lightweight off-line processing. A graphical user interface interactively receives an exemplar data file with a selection of a column in the exemplar data file. A list of candidate data-tagging patterns is generated based on the statistical summary and updates the list by removing candidate data-tagging patterns that under-generalize the data. The present disclosure determines a data-tagging pattern by selecting a candidate data-tagging profile from the list based on having the least number of matching columns in the data lake.
    Type: Application
    Filed: November 19, 2020
    Publication date: May 19, 2022
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Yeye HE, Jie SONG, Yue WANG, Surajit CHAUDHURI, Vishal Kumar Seshagirirao ANIL, Yaron Y. GOLAND, Gaurav MALHOTRA, Blake LASSITER