Patents by Inventor Ofer Lahav

Ofer Lahav 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, apparatus, and computer-readable medium for non-structured data profiling
    Patent number: 10671631
    Abstract: A system, a method, and a non-transitory computer readable for generating a profile of one or more data objects comprising determining a format of the at least one data object and selecting a data transformation policy based on the format of the at least one data object and generating a model descriptive of the non-structured data contained in the at least one data object based on the data transformation policy and selecting at least a portion of the model indicative of a portion of the non-structured data and generating a profile of the portion of the non-structured data contained in all of the one or more data objects.
    Type: Grant
    Filed: October 31, 2016
    Date of Patent: June 2, 2020
    Assignee: Informatica LLC
    Inventors: Gadi Wolfman, Uri Vax, Shanavazh Basha Shotabai, Ofer Lahav
  • METHOD, APPARATUS, AND COMPUTER-READABLE MEDIUM FOR NON-STRUCTURED DATA PROFILING
    Publication number: 20180121526
    Abstract: A system, a method, and a non-transitory computer readable for generating a profile of one or more data objects comprising determining a format of the at least one data object and selecting a data transformation policy based on the format of the at least one data object and generating a model descriptive of the non-structured data contained in the at least one data object based on the data transformation policy and selecting at least a portion of the model indicative of a portion of the non-structured data and generating a profile of the portion of the non-structured data contained in all of the one or more data objects.
    Type: Application
    Filed: October 31, 2016
    Publication date: May 3, 2018
    Inventors: Gadi Wolfman, Uri Vax, Shanavazh Basha Shotabai, Ofer Lahav
  • Data compression and multiple parameter estimation
    Patent number: 6433710
    Abstract: A method for radical linear compression of datasets where the data are dependent on some number M of parameters. If the noise in the data is independent of the parameters, M linear combinations of the data can be formed, which contain as much information about all the parameters as the entire dataset, in the sense that the Fisher information matrices are identical; i.e. the method is lossless. When the noise is dependent on the parameters, the method, although not precisely lossless, increases errors by a very modest factor. The method is general, but is illustrated with a problem for which it is well-suited: galaxy spectra, whose data typically consist of about 1000 fluxes, and whose properties are set by a handful of parameters such as age, brightness and a parameterized star formation history. The spectra are reduced to a small number of data, which are connected to the physical processes entering the problem.
    Type: Grant
    Filed: November 3, 2000
    Date of Patent: August 13, 2002
    Assignee: The University Court of the University of Edinburgh
    Inventors: Alan F. Heavens, Raul Jimenez, Ofer Lahav