Patents by Inventor Nicholas O. Cramer

Nicholas O. Cramer 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 and system for information retrieval and aggregation from inferred user reasoning
    Patent number: 10255355
    Abstract: The visual analytic system enables information retrieval within large text collections. Typically, users have to directly and explicitly query information to retrieve it. With this system and process, the reasoning of the user is inferred from the user interaction they perform in a visual analytic tool, and the appropriate information to query, process, and visualize is systematically determined.
    Type: Grant
    Filed: May 27, 2015
    Date of Patent: April 9, 2019
    Assignee: Battelle Memorial Institute
    Inventors: Alexander Endert, Nicholas O. Cramer, Ralph J. Perko, III, Shawn D. Hampton, Edwin R. Burtner, Kristin A. Cook
  • METHOD AND SYSTEM FOR INFORMATION RETRIEVAL AND AGGREGATION FROM INFERRED USER REASONING
    Publication number: 20150347576
    Abstract: The visual analytic system enables information retrieval within large text collections. Typically, users have to directly and explicitly query information to retrieve it. With this system and process, the reasoning of the user is inferred from the user interaction they perform in a visual analytic tool, and the appropriate information to query, process, and visualize is systematically determined.
    Type: Application
    Filed: May 27, 2015
    Publication date: December 3, 2015
    Inventors: Alexander Endert, Nicholas O. Cramer, Ralph J. Perko, III, Shawn D. Hampton, Edwin R. Burtner, Kristin A. Cook
  • Rapid automatic keyword extraction for information retrieval and analysis
    Patent number: 8131735
    Abstract: Methods and systems for rapid automatic keyword extraction for information retrieval and analysis. Embodiments can include parsing words in an individual document by delimiters, stop words, or both in order to identify candidate keywords. Word scores for each word within the candidate keywords are then calculated based on a function of co-occurrence degree, co-occurrence frequency, or both. Based on a function of the word scores for words within the candidate keyword, a keyword score is calculated for each of the candidate keywords. A portion of the candidate keywords are then extracted as keywords based, at least in part, on the candidate keywords having the highest keyword scores.
    Type: Grant
    Filed: September 9, 2009
    Date of Patent: March 6, 2012
    Assignee: Battelle Memorial Institute
    Inventors: Stuart J Rose, Wendy E Cowley, Vernon L Crow, Nicholas O Cramer
  • Universal parsing agent system and method
    Patent number: 7917548
    Abstract: A system and method for extracting and converting data from one or more information sources into a common format. The method comprises receiving the information sources, receiving at least one pattern descriptor selected from a graphical user interface, and receiving one or more templates with each templates having at least one pattern descriptor. The method then proceeds to apply the one or more templates to the information sources. The method generates the plurality of data in a common format by parsing the information sources with the templates. The method stores the data in the common format.
    Type: Grant
    Filed: November 14, 2003
    Date of Patent: March 29, 2011
    Assignee: Bottelle Memorial Institute
    Inventors: Alexander G. Gibson, Anne Schur, James C. Brown, Wendy E. Cowley, Nicholas O. Cramer, Dennis L. McQuerry, Patricia A. Medvick, Mark A. Whiting, Marie V. Whyatt
  • Rapid Automatic Keyword Extraction for Information Retrieval and Analysis
    Publication number: 20110060747
    Abstract: Methods and systems for rapid automatic keyword extraction for information retrieval and analysis. Embodiments can include parsing words in an individual document by delimiters, stop words, or both in order to identify candidate keywords. Word scores for each word within the candidate keywords are then calculated based on a function of co-occurrence degree, co-occurrence frequency, or both. Based on a function of the word scores for words within the candidate keyword, a keyword score is calculated for each of the candidate keywords. A portion of the candidate keywords are then extracted as keywords based, at least in part, on the candidate keywords having the highest keyword scores.
    Type: Application
    Filed: September 9, 2009
    Publication date: March 10, 2011
    Applicant: BATTELLE MEMORIAL INSTITUTE
    Inventors: Stuart J. Rose, Wendy E. Cowley, Vernon L. Crow, Nicholas O. Cramer