Patents by Inventor Tobias Niekamp

Tobias Niekamp 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).

  • Information retrieval method with efficient similarity search capability
    Patent number: 7734566
    Abstract: Embodiments of the present invention include methods for retrieving information from an information base. In one embodiment, the present invention includes specifying a first query including one or more specified attribute values corresponding to one or more attributes, performing a count-only query on a structured information base for information elements having one or more attribute values within a first range, the first range including the specified attribute values, and performing a retrieval query for information elements having one or more attribute values within a second range, wherein the second range includes the first range.
    Type: Grant
    Filed: November 1, 2004
    Date of Patent: June 8, 2010
    Assignee: SAP AG
    Inventors: Alexandru M. Caracas, Tobias Niekamp, Sascha H. Schmitt
  • Clustering for structured data
    Patent number: 7676518
    Abstract: A system and method for processing data using a bubble clustering algorithm are presented. In the system and method, a set of data is formatted for processing. A set of business objects containing the formatted data is grouped into a smaller set of bubbles, each bubble comprising a container that provides only statistical information about the business objects therein. The bubbles are then clustered based on a nearest neighbor similarity, and a visualization of the clustered bubbles is generated.
    Type: Grant
    Filed: August 16, 2006
    Date of Patent: March 9, 2010
    Assignee: SAP AG
    Inventor: Tobias Niekamp
  • Clustering for structured data
    Publication number: 20080046430
    Abstract: A system and method for processing data using a bubble clustering algorithm are presented. In the system and method, a set of data is formatted for processing. A set of business objects containing the formatted data is grouped into a smaller set of bubbles, each bubble comprising a container that provides only statistical information about the business objects therein. The bubbles are then clustered based on a nearest neighbor similarity, and a visualization of the clustered bubbles is generated.
    Type: Application
    Filed: August 16, 2006
    Publication date: February 21, 2008
    Inventor: Tobias Niekamp
  • Information retrieval method with efficient similarity search capability
    Publication number: 20060106762
    Abstract: Embodiments of the present invention include methods for retrieving information from an information base. In one embodiment, the present invention includes specifying a first query including one or more specified attribute values corresponding to one or more attributes, performing a count-only query on a structured information base for information elements having one or more attribute values within a first range, the first range including the specified attribute values, and performing a retrieval query for information elements having one or more attribute values within a second range, wherein the second range includes the first range.
    Type: Application
    Filed: November 1, 2004
    Publication date: May 18, 2006
    Applicant: SAP Aktiengesellschaft
    Inventors: Alexandru Caracas, Tobias Niekamp, Sascha Schmitt