Patents by Inventor Eric J. Snowberg

Eric J. Snowberg 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: 6701318
    Abstract: An information retrieval and visualization system utilizes multiple search engines for retrieving documents from a document database based upon user input queries. Search engines include an n-gram search engine and a vector space model search engine using a neural network training algorithm. Each search engine produces a common mathematical representation of each retrieved document. The retrieved documents are then combined and ranked. Mathematical representations for each respective document is mapped onto a display. Information displayed includes a three-dimensional display of keywords from the user input query. The three-dimensional visualization capability based upon the mathematical representation of information within the information retrieval and visualization system provides users with an intuitive understanding, with relevance feedback/query refinement techniques that can be better utilized, resulting in higher retrieval accuracy (precision).
    Type: Grant
    Filed: February 3, 2003
    Date of Patent: March 2, 2004
    Assignee: Harris Corporation
    Inventors: Kevin L. Fox, Ophir Frieder, Margaret M. Knepper, Robert A. Killam, Joseph M. Nemethy, Gregory J. Cusick, Eric J. Snowberg
  • Publication number: 20030130998
    Abstract: An information retrieval and visualization system utilizes multiple search engines for retrieving documents from a document database based upon user input queries. Search engines include an n-gram search engine and a vector space model search engine using a neural network training algorithm. Each search engine produces a common mathematical representation of each retrieved document. The retrieved documents are then combined and ranked. Mathematical representations for each respective document is mapped onto a display. Information displayed includes a three-dimensional display of keywords from the user input query. The three-dimensional visualization capability based upon the mathematical representation of information within the information retrieval and visualization system provides users with an intuitive understanding, with relevance feedback/query refinement techniques that can be better utilized, resulting in higher retrieval accuracy (precision).
    Type: Application
    Filed: February 3, 2003
    Publication date: July 10, 2003
    Applicant: Harris Corporation
    Inventors: Kevin L. Fox, Ophir Frieder, Margaret M. Knepper, Robert A. Killam, Joseph M. Nemethy, Gregory J. Cusick, Eric J. Snowberg
  • Patent number: 6574632
    Abstract: An information retrieval and visualization system utilizes multiple search engines for retrieving documents from a document database based upon user input queries. Search engines include an n-gram search engine and a vector space model search engine using a neural network training algorithm. Each search engine produces a common mathematical representation of each retrieved document. The retrieved documents are then combined and ranked. Mathematical representations for each respective document is mapped onto a display. Information displayed includes a three-dimensional display of keywords from the user input query. The three-dimensional visualization capability based upon the mathematical representation of information within the information retrieval and visualization system provides users with an intuitive understanding, with relevance feedback/query refinement techniques that can be better utilized, resulting in higher retrieval accuracy (precision).
    Type: Grant
    Filed: November 18, 1998
    Date of Patent: June 3, 2003
    Assignee: Harris Corporation
    Inventors: Kevin L. Fox, Ophir Frieder, Margaret M. Knepper, Robert A. Killam, Joseph M. Nemethy, Gregory J. Cusick, Eric J. Snowberg
  • Publication number: 20030069873
    Abstract: An information retrieval and visualization system utilizes multiple search engines for retrieving documents from a document database based upon user input queries. Search engines include an n-gram search engine and a vector space model search engine using a neural network training algorithm. Each search engine produces a common mathematical representation of each retrieved document. The retrieved documents are then combined and ranked. Mathematical representations for each respective document is mapped onto a display. Information displayed includes a three-dimensional display of keywords from the user input query. The three-dimensional visualization capability based upon the mathematical representation of information within the information retrieval and visualization system provides users with an intuitive understanding, with relevance feedback/query refinement techniques that can be better utilized, resulting in higher retrieval accuracy (precision).
    Type: Application
    Filed: November 18, 1998
    Publication date: April 10, 2003
    Inventors: KEVIN L. FOX, OPHIR FRIEDER, MARGARET M. KNEPPER, ROBERT A. KILLAM, JOSEPH M. NEMETHY, GREGORY J. CUSICK, ERIC J. SNOWBERG