Patents by Inventor Stefan BORDAG

Stefan BORDAG 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: 10002183
    Abstract: The present document relates to a system and method for searching a document using one or more search terms. In particular, the present document relates to a resource efficient method for searching a document within a database of documents. A method for determining an inverse index on an electronic device including a database is described. The inverse index is configured to map a plurality of text data entities from the database to a search term. The method includes determining a plurality of relevance vectors for a plurality of text data entities from the database. Determining a relevance vector for a text data entity from the database includes: selecting N terms which are descriptive of the text data entity; and determining the relevance vector from the selected N terms. Furthermore, the method includes determining the inverse index comprising a plurality of records.
    Type: Grant
    Filed: July 29, 2013
    Date of Patent: June 19, 2018
    Assignee: ExB Asset Management GmbH
    Inventors: Ramin Assadollahi, Stefan Bordag
  • Patent number: 9230012
    Abstract: The application relates to a method for facilitating the selection of an information source, comprising: providing two search strings to an electronic device; obtaining strings and relationship values, wherein each relationship value defines a degree of semantic relationship between two strings or a string and a search string and wherein at least some of the strings match with elements in the information sources; and displaying at least some of the matching strings on a two-dimensional map. The map comprises a first, a second and a third region, the first region comprising matching strings that have a non-zero relationship value only with regard to the first search string, the second region comprising matching strings that have a non-zero relationship value only with regard to the second search string and the third region comprising matching strings that have non-zero relationship values with regard to the first and the second search string.
    Type: Grant
    Filed: February 13, 2012
    Date of Patent: January 5, 2016
    Assignee: EXB ASSET MANAGEMENT GMBH
    Inventors: Ramin Assadollahi, Stefan Bordag
  • Publication number: 20140032567
    Abstract: The present document relates to a system and method for searching a document using one or more search terms. In particular, the present document relates to a resource efficient method for searching a document within a database of documents. A method for determining an inverse index on an electronic device including a database is described. The inverse index is configured to map a plurality of text data entities from the database to a search term. The method includes determining a plurality of relevance vectors for a plurality of text data entities from the database. Determining a relevance vector for a text data entity from the database includes: selecting N terms which are descriptive of the text data entity; and determining the relevance vector from the selected N terms. Furthermore, the method includes determining the inverse index comprising a plurality of records.
    Type: Application
    Filed: July 29, 2013
    Publication date: January 30, 2014
    Applicant: ExB Asset Management GmbH
    Inventors: Ramin ASSADOLLAHI, Stefan BORDAG
  • Publication number: 20130066818
    Abstract: A method for enabling machine learning from unstructured documents is described. The method comprises analyzing at an electronic device, one or more structured databases, thereby providing a mapping between a plurality of referenced character strings and a corresponding plurality of type labels; providing, at the electronic device, a first unstructured document comprising a plurality of unstructured character strings; analyzing the first unstructured document to identify a first character string of the plurality of unstructured character strings which is associated with a first referenced character string of the plurality of referenced character strings; associating, within the first unstructured document, a first type label which is mapped to the first referenced character string to the first character string; and determining a training set for machine learning from the first unstructured document comprising the association to the first type label.
    Type: Application
    Filed: September 12, 2012
    Publication date: March 14, 2013
    Applicant: EXB ASSET MANAGEMENT GMBH
    Inventors: Ramin Assadollahi, Stefan Bordag
  • Publication number: 20120209830
    Abstract: The application relates to a method for facilitating the selection of an information source, comprising: providing two search strings to an electronic device; obtaining strings and relationship values, wherein each relationship value defines a degree of semantic relationship between two strings or a string and a search string and wherein at least some of the strings match with elements in the information sources; and displaying at least some of the matching strings on a two-dimensional map. The map comprises a first, a second and a third region, the first region comprising matching strings that have a non-zero relationship value only with regard to the first search string, the second region comprising matching strings that have a non-zero relationship value only with regard to the second search string and the third region comprising matching strings that have non-zero relationship values with regard to the first and the second search string.
    Type: Application
    Filed: February 13, 2012
    Publication date: August 16, 2012
    Applicant: ExB Asset Management GmbH
    Inventors: Ramin ASSODALLAHI, Stefan BORDAG