Jonathan Edward Murray

US Patent:

7447665, Nov 4, 2008

Filed:

May 10, 2005

Appl. No.:

11/127657

Inventors:

Jonathan Murray - Berthoud CO, US

Assignee:

Kinetx, Inc. - Tempe AZ

International Classification:

G06N 5/00

US Classification:

706 20, 706 45

Abstract:

In a computer implemented method of researching textual data sources, textual data is reduced to a plurality of distinctive words based on frequency of usage within the textual data. The distinctive words are converted into first numeric representations of vectors containing random numbers. A first self-organizing map is formed from the first numeric representations and organized by similarities between the vectors. A second self-organizing map is formed from second numeric representations generated from the organization of the first self-organizing map. The second numeric representations are vectors derived from the first self-organizing map. The vectors are used to train the second self-organizing map. The vectors derived from the first self-organizing map are organized into clusters of similarities between the vectors on the second self-organizing map. Dialectic arguments are formed from the second self-organizing map to interpret the textual data.

US Patent:

20090049067, Feb 19, 2009

Filed:

Oct 27, 2008

Appl. No.:

12/258959

Inventors:

Jonathan Murray - Berthoud CO, US

Assignee:

KINETX, INC. - Tempe AZ

International Classification:

G06F 17/30

US Classification:

707100, 707E17051

Abstract:

In a computer implemented method of researching textual data sources, textual data is reduced to a plurality of distinctive words based on frequency of usage within the textual data. The distinctive words are converted into first numeric representations of vectors containing random numbers. A first self-organizing map is formed from the first numeric representations and organized by similarities between the vectors. A second self-organizing map is formed from second numeric representations generated from the organization of the first self-organizing map. The second numeric representations are vectors derived from the first self-organizing map. The vectors are used to train the second self-organizing map. The vectors derived from the first self-organizing map are organized into clusters of similarities between the vectors on the second self-organizing map. Dialectic arguments are formed from the second self-organizing map to interpret the textual data.

US Patent:

20110225159, Sep 15, 2011

Filed:

Jan 27, 2011

Appl. No.:

13/015372

Inventors:

Jonathan Murray - Berthoud CO, US

International Classification:

G06F 17/30

US Classification:

707739, 707E17089

Abstract:

The disclosed embodiments provide a system and method for using modified Latent Semantic Analysis techniques to structure data for efficient search and display. The present invention creates a hierarchy of clustered documents, representing the topics of a domain corpus, through a process of optimal agglomerative clustering. The output from a search query is displayed in a fisheye view corresponding to the hierarchy of clustered documents. The fisheye view may link to a two-dimensional self-organizing map that represents semantic relationships between documents.

Author:

Jonathan Murray

ISBN #:

0786717874

Author:

Jonathan Murray

ISBN #:

0786719265

Author:

Jonathan Murray

ISBN #:

0852618182

Author:

Jonathan Murray

ISBN #:

1905222181

Author:

Jonathan Murray

ISBN #:

1905222718