Mark W Greaves

Author:

Mark Greaves

ISBN #:

3540411445

US Patent:

7707161, Apr 27, 2010

Filed:

Jul 18, 2006

Appl. No.:

11/489243

Inventors:

Stephen G. Hall - Bainbridge Island WA, US
Arun T. Jacob - Mercer Island WA, US
Mark Thomas Greaves - Mercer Island WA, US
Paul G. Allen - Seattle WA, US

Assignee:

Vulcan Labs LLC - Seattle WA

International Classification:

G06F 7/00

US Classification:

707103R

Abstract:

Embodiments of the present invention are directed to acquiring information from the worldwide web, organizing information acquired from the worldwide web, and using the acquired and organized information to facilitate web-page searching, web-page browsing, and other worldwide-web-based activities. In one embodiment of the present invention, a database of concept objects is created from an initial set of semantic objects and from hyperlink information obtained from web pages by one or more web crawlers. The initial set of semantic objects is processed using hyperlink based objects created by the web crawler. The processed semantic objects are then associated with additional hyperlink-based objects to create a concept-object database. In certain embodiments of the present invention, the concept-object database can be further refined and supplemented in an automated fashion by additional web crawling, subsequent association of hyperlink-based objects with concept objects, and creation of new concept objects as well as by user input to, and editing of, the concept-object database. The concept-object database may be employed, in various embodiments of the present invention, to facilitate web browsing, web-page searching, and other worldwide-web-base activities.

US Patent:

8060538, Nov 15, 2011

Filed:

Mar 5, 2010

Appl. No.:

12/718774

Inventors:

Stephen G. Hall - Bainbridge Island WA, US
Arun T. Jacob - Mercer Island WA, US
Mark Thomas Greaves - Mercer Island WA, US
Paul G. Allen - Seattle WA, US

Assignee:

Vulcan, Inc. - Seattle WA

International Classification:

G06F 17/30

US Classification:

707803

Abstract:

Embodiments of the present invention are directed to acquiring information from the worldwide web, organizing information acquired from the worldwide web, and using the acquired and organized information to facilitate web-page searching, web-page browsing, and other worldwide-web-based activities. In one embodiment of the present invention, a database of concept objects is created from an initial set of semantic objects and from hyperlink information obtained from web pages by one or more web crawlers. The initial set of semantic objects is processed using hyperlink based objects created by the web crawler. The processed semantic objects are then associated with additional hyperlink-based objects to create a concept-object database. In certain embodiments of the present invention, the concept-object database can be further refined and supplemented in an automated fashion by additional web crawling, subsequent association of hyperlink-based objects with concept objects, and creation of new concept objects as well as by user input to, and editing of, the concept-object database. The concept-object database may be employed, in various embodiments of the present invention, to facilitate web browsing, web-page searching, and other worldwide-web-base activities.

US Patent:

6611825, Aug 26, 2003

Filed:

Jun 9, 1999

Appl. No.:

09/328888

Inventors:

D. Dean Billheimer - Seattle WA
Andrew James Booker - Seattle WA
Michelle Keim Condliff - Issaquah WA
Mark Thomas Greaves - Seattle WA
Fredrick Baden Holt - Bellevue WA
Anne Shu-Wan Kao - Bellevue WA
Daniel John Pierce - Woodinville WA
Stephen Robert Poteet - Bellevue WA
Yuan-Jye Wu - Issaquah WA

Assignee:

The Boeing Company - Seattle WA

International Classification:

G06N 500

US Classification:

706 45, 382156, 707 1

Abstract:

A text mining program is provided that allows a user to perform text mining operations, such as: information retrieval, term and document visualization, term and document clustering, term and document classification, summarization of individual documents and groups of documents, and document cross-referencing. This is accomplished by representing the text of a document collection using subspace transformations. This subspace transformation representation is performed by: constructing a term frequency matrix of the term frequencies for each of the documents, transforming the term frequencies for statistical purposes, and projecting the documents or the terms into a lower dimensional subspace. As the document collection is updated, the subspace is dynamically updated to reflect the new document collection.