Yan Liu

US Patent:

7970767, Jun 28, 2011

Filed:

Apr 30, 2007

Appl. No.:

11/742244

Inventors:

Katharina Probst - Dyer IN, US
Rayid Ghani - Chicago IL, US
Andrew E. Fano - Lincolnshire IL, US
Marko Krema - Evanston IL, US
Yan Liu - New York City NY, US

Assignee:

Accenture Global Services Limited - Dublin

International Classification:

G06F 17/30

US Classification:

707739, 707777, 707796, 707803

Abstract:

One or more classification algorithms are applied to at least one natural language document in order to extract both attributes and values of a given product. Supervised classification algorithms, semi-supervised classification algorithms, unsupervised classification algorithms or combinations of such classification algorithms may be employed for this purpose. The at least one natural language document may be obtained via a public communication network. Two or more attributes (or two or more values) thus identified may be merged to form one or more attribute phrases or value phrases. Once attributes and values have been extracted in this manner, association or linking operations may be performed to establish attribute-value pairs that are descriptive of the product. In a presently preferred embodiment, an (unsupervised) algorithm is used to generate seed attributes and values which can then support a supervised or semi-supervised classification algorithm.

US Patent:

8019838, Sep 13, 2011

Filed:

May 21, 2008

Appl. No.:

12/124560

Inventors:

Michael Zhihe Z Jiang - Lake in the Hills IL, US
Yan Liu - Hanover Park IL, US
John C. Strassner - North Barrington IL, US
Jing Zhang - Schaumburg IL, US

Assignee:

Motorola Solutions, Inc. - Schaumburg IL

International Classification:

G06F 15/177

US Classification:

709221, 709224, 370225

Abstract:

A system, method, and information processing system for managing a configuration of a network device. A current state associated with at least one network device () is determined (). A set of commands () available for the current state of the network device () is retrieved (). A next state associated with a current command is determined () for each command in the set of commands (). A transition from the current state to the next state is created () in response to determining a next state associated with a current command. A transition is determined to have been created for each command in the set of commands (). An extended finite state machine () is created that includes at least the current state, the next state, and the transition for each of the commands in the set of commands ().

US Patent:

8145619, Mar 27, 2012

Filed:

Feb 11, 2008

Appl. No.:

12/028877

Inventors:

Timothy R. Bowden - Sparks MD, US
Upendra Chitnis - Jersey City NJ, US
Ildar K. Khabibrakhmanov - Syosset NY, US
Richard D. Lawrence - Ridgefield CT, US
Yan Liu - Elmsford NY, US
Prem Melville - White Plains NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 7/00
G06F 17/30
G06F 13/14

US Classification:

707710, 707705, 707706, 707709

Abstract:

A method for identifying companies with specific business objectives that includes using existing sources of company firmographic data to identify a broad set of companies and associated websites, crawling the websites associated with the identified companies and indexing web site content for each of the identified companies with the specific business objective to realize indexed web content. The method further includes joining the company firmographic data with the indexed web content using a business objective common identifier to generate a store of joined structured firmographic data and indexed web content and presenting a display image representation of the store of joined structured firmographic data and indexed web content for user review. The display image further receives user input to score each of said companies identified therein, and using a search interface, querying the store of scored, joined structured firmographic data and indexed web content. The method further includes augmenting the search interface, or search results from a query, with predictive, machine-leaning processes that allow rapid identification of companies possibly missed in the query.

US Patent:

8505047, Aug 6, 2013

Filed:

Nov 20, 2010

Appl. No.:

12/951014

Inventors:

Yan Liu - Hanover Park IL, US
Bhavan Ghandhi - Vernon Hills IL, US
Srinivasa C. Samudrala - Richardson TX, US
Kabe Vanderbaan - Arlington Heights IL, US
Jing Zhang - Hanover Park IL, US

Assignee:

Motorola Solutions, Inc. - Schaumburg IL

International Classification:

H04N 7/10
H04N 7/025

US Classification:

725 35, 725 34, 725 36, 725116, 725146, 705 11, 705 1443

Abstract:

A content provider broadcasts content to subscribers through a content distribution system. The content distribution system operator can capture broadcast content in accordance with policies established by the content provider and make the content available subsequent to the original broadcast in accordance with applicable business policies. Business policies are created by the content provider by modifying template information models which have associated rules. The content distributor stores the business policies and evaluates rules indicated by the business policies against attributes of a content asset to determine availability of the content asset.

US Patent:

8521745, Aug 27, 2013

Filed:

Jun 13, 2011

Appl. No.:

13/158678

Inventors:

Katharina Probst - Dyer IN, US
Rayid Ghani - Chicago IL, US
Andrew E. Fano - Lincolnshire IL, US
Marko Krema - Evanston IL, US
Yan Liu - Elmsford NY, US

Assignee:

Accenture Global Services Limited - Dublin

International Classification:

G06F 17/30

US Classification:

707739

Abstract:

One or more classification algorithms are applied to at least one natural language document in order to extract both attributes and values of a given product. Supervised classification algorithms, semi-supervised classification algorithms, unsupervised classification algorithms or combinations of such classification algorithms may be employed for this purpose. The at least one natural language document may be obtained via a public communication network. Two or more attributes (or two or more values) thus identified may be merged to form one or more attribute phrases or value phrases. Once attributes and values have been extracted in this manner, association or linking operations may be performed to establish attribute-value pairs that are descriptive of the product. In a presently preferred embodiment, an (unsupervised) algorithm is used to generate seed attributes and values which can then support a supervised or semi-supervised classification algorithm.

US Patent:

8626801, Jan 7, 2014

Filed:

Aug 4, 2011

Appl. No.:

13/197906

Inventors:

Katharina Probst - Dyer IN, US
Rayid Ghani - Chicago IL, US
Andrew E. Fano - Lincolnshire IL, US
Marko Krema - Evanston IL, US
Yan Liu - Elmsford NY, US

Assignee:

Accenture Global Services Limited - Dublin

International Classification:

G06F 17/30

US Classification:

707803

Abstract:

One or more classification algorithms are applied to at least one natural language document in order to extract both attributes and values of a given product. Supervised classification algorithms, semi-supervised classification algorithms, unsupervised classification algorithms or combinations of such classification algorithms may be employed for this purpose. The at least one natural language document may be obtained via a public communication network. Two or more attributes (or two or more values) thus identified may be merged to form one or more attribute phrases or value phrases. Once attributes and values have been extracted in this manner, association or linking operations may be performed to establish attribute-value pairs that are descriptive of the product. In a presently preferred embodiment, an (unsupervised) algorithm is used to generate seed attributes and values which can then support a supervised or semi-supervised classification algorithm.

US Patent:

7996440, Aug 9, 2011

Filed:

Apr 30, 2007

Appl. No.:

11/742215

Inventors:

Katharina Probst - Chicago IL, US
Rayid Ghani - Chicago IL, US
Andrew E. Fano - Lincolnshire IL, US
Marko Krema - Evanston IL, US
Yan Liu - New York City NY, US

Assignee:

Accenture Global Services Limited - Dublin

International Classification:

G06F 17/30

US Classification:

707803, 704275

Abstract:

One or more classification algorithms are applied to at least one natural language document in order to extract both attributes and values of a given product. Supervised classification algorithms, semi-supervised classification algorithms, unsupervised classification algorithms or combinations of such classification algorithms may be employed for this purpose. The at least one natural language document may be obtained via a public communication network. Two or more attributes (or two or more values) thus identified may be merged to form one or more attribute phrases or value phrases. Once attributes and values have been extracted in this manner, association or linking operations may be performed to establish attribute-value pairs that are descriptive of the product. In a presently preferred embodiment, an (unsupervised) algorithm is used to generate seed attributes and values which can then support a supervised or semi-supervised classification algorithm.

US Patent:

20090327172, Dec 31, 2009

Filed:

Jun 27, 2008

Appl. No.:

12/163295

Inventors:

Yan Liu - Hanover Park IL, US
Michael Zhihe Z. Jiang - Lake in the Hills IL, US
John C. Strassner - North Barrington IL, US
Jing Zhang - Schaumberg IL, US

Assignee:

Motorola, Inc. - Schaumburg IL

International Classification:

G06F 15/18

US Classification:

706 12

Abstract:

A method, information processing system, and network select machine learning algorithms for managing autonomous operations of network elements. A state () of at least one problem () and at least one context associated with the problem are received as input. A machine learning algorithm () is selected () based on the problem and context of the problem that have been received. The machine learning algorithm () that has been selected is outputted to an autonomic controller.