Larry L Proctor

US Patent:

6609124, Aug 19, 2003

Filed:

Aug 13, 2001

Appl. No.:

09/928743

Inventors:

Amy W. Chow - Norwalk CT
Michael J. Danke - Houston TX
Julie J. Pietrzak - Boulder CO
Larry L. Proctor - Coppell TX
Edward L. Smierciak - Danbury CT
Terry K. Tullis - Aliso Viejo CA

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 7730

US Classification:

707 5

Abstract:

A method and structure for searching a computerized network of databases containing documents uses a web crawler. The web crawler is provided with conceptual guidelines before the searching. The invention summarizes and performs text clustering on the summaries to produce classifications. The text clustering is performed using seeds based on the conceptual guidelines. The invention then provides, through a user interface, the classifications and a query entry to search the classifications and directs (in response to the query entry) the user to one or more of the classifications, such that the user is directed to the classifications (and hyperlinks to the documents) and the user is not provided the documents themselves.

US Patent:

6725217, Apr 20, 2004

Filed:

Jun 20, 2001

Appl. No.:

09/885201

Inventors:

Amy W. Chow - Norwalk CT
Jeffrey T. Kreulen - San Jose CA
Justin T. Lessler - San Jose CA
Larry L. Proctor - Coppell TX
W. Scott Spangler - San Martin CA

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 1730

US Classification:

707 6, 707102

Abstract:

A computing system and method explores a knowledge repository by accepting a natural language query from a user, determining a distance between the query and every category in every partitioning of the knowledge repository, and displaying a radial graph ( ) of the nearest categories. Further, in response to a user selecting a category, visually displaying matching elements in the category along with its nearest neighbor categories in a scatter plot ( ).

US Patent:

8010524, Aug 30, 2011

Filed:

Oct 29, 2007

Appl. No.:

11/927238

Inventors:

Ying Chen - San Jose CA, US
Amit Behal - San Jose CA, US
Thomas D. Griffin - Campbell CA, US
Larry L. Proctor - Coppell TX, US
W. Scott Spangler - San Martin CA, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 17/30

US Classification:

707722, 707769

Abstract:

Consumer-generated media (CGM) and/or other media are monitored to allow an organization to become aware of, and respond to, issues that may affect how it is perceived by the public. An extract, transform, load (ETL) engine is used to process CGM and other media content, and an analytical engine utilizes a multi-step progressive filtering approach to identify those documents that are most relevant. The filtering approach includes executing broad queries to extract relevant content from different CGM and other sources, extracting text snippets from the relevant content and performing de-duplication, defining organizational identity (e. g. , brand name, trade name, or company name) and hot-topic models using a rule-based and statistical-based approach, and using the models together in an orthogonal filtering approach to effectively generate alerts and reports. The methodology is found to be substantially more effective compared to a conventional keyword based approach.

US Patent:

8606815, Dec 10, 2013

Filed:

Dec 9, 2008

Appl. No.:

12/331271

Inventors:

Ying Chen - San Jose CA, US
Larry Proctor - Coppell TX, US
William Scott Spangler - San Martin CA, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 7/00
G06F 17/30

US Classification:

707777, 707737

Abstract:

Systems and methods for systematically analyzing an electronic text are described. In one embodiment, the method includes receiving the electronic text from a plurality of sources. The method also includes determining an at least one term of interest to be identified in the electronic text. The method further includes identifying a plurality of locations within the electronic text including the at least one term of interest. The method also includes for each location within a plurality of locations, creating a snippet from a text segment around the at least one term of interest at the location within the electronic text. The method further includes creating multiple taxonomies for the at least one term of interest from the snippets, wherein the taxonomies include an at least one category. The method also includes determining co-occurrences between the multiple taxonomies to determine associations between categories of a different taxonomies of the multiple taxonomies.

US Patent:

20080195678, Aug 14, 2008

Filed:

Feb 13, 2007

Appl. No.:

11/674590

Inventors:

YING CHEN - SAN JOSE CA, US
JEFFREY THOMAS KREULEN - SAN JOSE CA, US
LARRY LEE PROCTOR - COPPELL TX, US
JAMES J. RHODES - LOS GATOS CA, US
WILLIAM SCOTT SPANGLER - SAN MARTIN CA, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G06F 17/30
G06F 7/00

US Classification:

707205, 707 7, 707E17001, 707E17014

Abstract:

Disclosed is a method of identifying partnering potential by: assembling a set of target patents representative of an industry of interest; building a dictionary of text feature entries; generating a set of text feature clusters; creating one or more contingency tables for assignees; and deriving an indication of partnering potential between the first assignee and the second assignee by comparing the values for each category for each assignee in each contingency table.

US Patent:

20090177963, Jul 9, 2009

Filed:

Jan 9, 2008

Appl. No.:

11/971673

Inventors:

Larry Lee Proctor - Coppell TX, US
Renjie Tang - San Jose CA, US
Ruoyi Zhou - San Jose CA, US

International Classification:

G06F 17/00

US Classification:

715254

Abstract:

A method of summarizing a document includes a step of extracting one or more sections of the document. The method also includes a step of separating at least one of the one or more extracted sections into one or more subsections based at least in part on a conjunctive structure of the section, wherein each subsection comprises one or more terms. The method also includes steps of determining whether one or more terms within a designated set of terms are present within at least one of the one or more subsections and, responsive to a determination that one or more terms within the designated set of terms are present within at least one of the one or more subsections, removing the one or more terms from the one or more subsections. The method also includes a step of aggregating at least a portion of the one or more sections into a summary of the document.