Moon T Kim

US Patent:

6886009, Apr 26, 2005

Filed:

Jul 31, 2002

Appl. No.:

10/209112

Inventors:

Youssef Drissi - Ossining NY, US
Moon Ju Kim - Wappingers Falls NY, US
Lev Kozakov - Stamford CT, US
Juan Leon-Rodriquez - Danbury CT, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F017/30

US Classification:

707 3

Abstract:

Query routing is based on identifying the preeminent search systems and data sources for each of a number of information domains. This involves assigning a weight to each search system or data source for each of the information domains. The greater the weight, the more preeminent a search system or data source is in a particular information domain. These weights Wi{1=0, 1,2,. . . N] are computed through a recursive learning process employing meta processing. The meta learning process involves simultaneous interrogation of multiple search systems to take advantage of the cross correlation between the search systems and data sources. In this way, assigning a weight to a search system takes into consideration results obtained about other search systems so that the assigned weights reflect the relative strengths of each of the systems or sources in a particular information domain. In the present process, a domain dataset used as an input to query generator. The query generator extracts keywords randomly from the domain dataset.

US Patent:

6952691, Oct 4, 2005

Filed:

Feb 1, 2002

Appl. No.:

10/066346

Inventors:

Youssef Drissi - Ossining NY, US
Moon Ju Kim - Wappingers Falls NY, US
Lev Kozakov - Stamford CT, US
Juan Leon Rodriguez - Pleasant Valley NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F017/30

US Classification:

707 3, 707 2, 707 7, 707 8, 707 9

Abstract:

A system and method of searching a database in which documents of different languages are included. The system includes a synonym or keyword dictionary which is bi-directional and allows for translation of keywords between a first language and other languages. The translated words keywords for the document are stored in an inverted index which is then used for searching, either in a selected language, a second language or in all languages, as determined by the user. This use of multiple searching and a translated synonym dictionary avoids the need for translation of the entire document and avoids inaccuracies which may result from translations.

US Patent:

7089250, Aug 8, 2006

Filed:

Oct 8, 2003

Appl. No.:

10/681612

Inventors:

Yurdaer N. Doganata - Chestnut Ridge NY, US
Youssef Drissi - Ossining NY, US
Moon J. Kim - Wappingers Falls NY, US
Lev Kozakov - Stamford CT, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 17/00
G06F 15/18
G06F 11/00

US Classification:

707100, 706 21, 714 39, 707102

Abstract:

A method, system, and computer program product for associating events. A provided event dataset includes events occurring in each of N successive time intervals (N≧3). Association rules pertaining to successive events in the event dataset are deduced. Sequences of events are generated from the association rules. Clusters of the sequences of events are formed. Sequences of the clusters are created. The clusters of the sequences may be used: to identify at least one event occurring in a time interval of the N time intervals as being a probable cause of at least one event occurring in a later-occurring time interval of the N time intervals; or to predict an occurrence of at least one event in a time interval occurring after the N time intervals, wherein the at least one event had occurred within the N time intervals.

US Patent:

7277985, Oct 2, 2007

Filed:

Jul 13, 2004

Appl. No.:

10/890853

Inventors:

Irwin Boutboul - White Plains NY, US
Moon J. Kim - Wappingers Falls NY, US
Dikran Meliksetian - Danbury CT, US
Robert G. Oesterlin - Rochester MN, US
Anthony Ravinsky, Jr. - Poughkeepsie NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 12/00

US Classification:

711112, 711159

Abstract:

The present invention takes advantage of unused storage space within the ESS cells to provide for the efficient and cost effective storage of downloadable content. Specifically, the system of the present invention generally includes a download grid manager that communicates with the ESS cells. Content to be replicated to the ESS cells, and characteristics corresponding thereto, are received on the download grid manager from a content owner (or the like). Based on the characteristics, a storage policy, and storage information previously received from the ESS cells, the download grid manager will replicate the downloadable content to unused storage space within the ESS cells.

US Patent:

7433894, Oct 7, 2008

Filed:

Jun 13, 2005

Appl. No.:

11/151047

Inventors:

Youssef Drissi - Ossining NY, US
Moon Ju Kim - Wappingers Falls NY, US
Lev Kozakov - Stamford CT, US
Juan Leon Rodriguez - Pleasant Valley NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 17/00

US Classification:

7071041, 707101, 707102, 707103 R

Abstract:

A system and method of searching a database in which documents of different languages are included. The system includes a synonym or keyword dictionary which is bi-directional and allows for translation of keywords between a first language and other languages. The translated words keywords for the document are stored in an inverted index which is then used for searching, either in a selected language, a second language or in all languages, as determined by the user. This use of multiple searching and a translated synonym dictionary avoids the need for translation of the entire document and avoids inaccuracies which may result from translations.

US Patent:

7577939, Aug 18, 2009

Filed:

Jun 27, 2003

Appl. No.:

10/608204

Inventors:

Yurdaer N. Doganata - Chestnut Ridge NY, US
Youssef Drissi - Ossining NY, US
Moon J. Kim - Wappingers Falls NY, US
Lev Kozakov - Stamford CT, US
Juan L. Rodriguez - Danbury CT, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 9/44
G06F 15/16

US Classification:

717120, 717122, 709219

Abstract:

Under the present invention source code can be shared among nodes in a peer-to-peer network. Specifically, source code to be shared will first be analyzed to identify a set of code patterns, assigned one or more predetermined categories based on the set of code patterns, and then selectively indexed. A developer desiring to use previously created source code when creating a new program can perform a context dependent search based on his/her working code to identify and retrieve relevant source code.

US Patent:

7584453, Sep 1, 2009

Filed:

Aug 30, 2007

Appl. No.:

11/847365

Inventors:

Yurdaer N. Doganata - Chestnut Ridge NY, US
Youssef Drissi - Ossining NY, US
Moon J. Kim - Wappingers Falls NY, US
Lev Kozakov - Stamford CT, US
Juan L. Rodriguez - Danbury CT, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 9/44
G06F 15/16

US Classification:

717120, 717122, 709219

Abstract:

Under the present invention source code can be shared among nodes in a peer-to-peer network. Specifically, source code to be shared will first be analyzed to identify a set of code patterns, assigned one or more predetermined categories based on the set of code patterns, and then selectively indexed. A developer desiring to use previously created source code when creating a new program can perform a context dependent search based on his/her working code to identify and retrieve relevant source code.

US Patent:

7647579, Jan 12, 2010

Filed:

Mar 31, 2004

Appl. No.:

10/814925

Inventors:

Youssef Drissi - Ossining NY, US
Moon Ju Kim - Wappingers Falls NY, US
Lev Kozakov - Stamford CT, US
Juan Leon Rodriguez - Waterbury CT, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 9/44

US Classification:

717114, 717101, 717102, 717103, 717126

Abstract:

Under the present invention, a best practice violation (BPV) engine resource is first built. This typically occurs by: receiving sets of source code from a plurality of sources; detecting a programming language of each of the sets of source code; extracting code patterns from the sets of source code; defining meta data for each code pattern that indicates a quality; classifying each code pattern; and assigning a rank to each of the code pattern based on its corresponding meta data as well as a skill level and an experience level of the developer. Once the BPV engine resource is built, it will be used to detect best practice violations in other sets of source code.