Patents by Inventor Kenneth Aas HANSEN

Kenneth Aas HANSEN 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).

  • SOFTWARE RECOGNITION USING TREE-STRUCTURED PATTERN MATCHING RULES FOR SOFTWARE ASSET MANAGEMENT
    Publication number: 20240303073
    Abstract: A method of software identification in a software asset management system is provided. The method comprises receiving software inventory data from a user terminal and processing the software inventory data, wherein processing the software inventory data comprise identifying software information based on the software inventory data. Thereby the software characteristics are identified.
    Type: Application
    Filed: May 14, 2024
    Publication date: September 12, 2024
    Inventors: Kenneth Aas HANSEN, Rolf Georg LUNDER, Lars KØHLER, Peter BJÖRKMAN
  • Software recognition using tree-structured pattern matching rules for software asset management
    Patent number: 12014169
    Abstract: A method for software identification in a software asset management system is provided. The method comprises receiving software inventory data from a user terminal and processing the software inventory data, wherein processing the software inventory data comprise identifying software information based on the software inventory data. Thereby the software characteristics are identified.
    Type: Grant
    Filed: December 17, 2018
    Date of Patent: June 18, 2024
    Assignee: SNOW SOFTWARE, INC.
    Inventors: Kenneth Aas Hansen, Rolf Georg Lunder, Lars Køhler, Peter Björkman
  • SOFTWARE RECOGNITION USING TREE-STRUCTURED PATTERN MATCHING RULES FOR SOFTWARE ASSET MANAGEMENT
    Publication number: 20220058014
    Abstract: A method for software identification in a software asset management system is provided. The method comprises receiving software inventory data from a user terminal and processing the software inventory data, wherein processing the software inventory data comprise identifying software information based on the software inventory data. Thereby the software characteristics are identified.
    Type: Application
    Filed: December 17, 2018
    Publication date: February 24, 2022
    Inventors: Peter BJÖRKMAN, Rolf Georg LUNDER, Kenneth Aas HANSEN, Lars KØHLER