Patents by Inventor Øystein DRIVFLAADT

Øystein DRIVFLAADT 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).

  • Patent number: 11675793
    Abstract: The inventions and its embodiments (hereafter called “the System”) are intended for use by any user in any situation where the amount of data is too extensive to effectively make sense of it in traditional manners or by use of traditional technology. Source data may be provided by one or many network computers and their inherent applications and/or data repositories. Information is made available to the users in intuitive contexts without moving, copying or manipulating the source data. Raw source data is extracted, analyzed, improved and normalized through a curating process for use by the System. All metadata are connected through a multidimensional, non-linear relational network, the fixed layer, based on a persistent relational network that includes any existing or emerging contextual information in the form of structured metadata.
    Type: Grant
    Filed: November 2, 2017
    Date of Patent: June 13, 2023
    Assignee: Intelligent Operations AS
    Inventors: Øystein Drivflaadt, Stein Fredriksen
  • Publication number: 20200073871
    Abstract: The inventions and its embodiments (hereafter called “the System”) are intended for use by any user in any situation where the amount of data is too extensive to effectively make sense of it in traditional manners or by use of traditional technology. Source data may be provided by one or many network computers and their inherent applications and/or data repositories. Information is made available to the users in intuitive contexts without moving, copying or manipulating the source data. Raw source data is extracted, analyzed, improved and normalized through a curating process for use by the System. All metadata are connected through a multidimensional, non-linear relational network, the fixed layer, based on a persistent relational network that includes any existing or emerging contextual information in the form of structured metadata.
    Type: Application
    Filed: November 2, 2017
    Publication date: March 5, 2020
    Inventors: Øystein DRIVFLAADT, Stein FREDRIKSEN