Mercan Topkara

20070244693, Oct 18, 2007

Apr 14, 2006

11/279835

Mikhail Atallah - West Lafayette IN, US
Srinivas Bangalore - Morristown NJ, US
Giuseppe Riccardi - Trento, IT
Mercan Topkara - West Lafayette IN, US
Umut Topkara - West Lafayette IN, US

AT&T Corp. - New York NY

G06F 17/27

704009000

A method, system and machine-readable medium are provided for watermarking natural language digital text. A deep structure may be generated and a group of features may be extracted from natural language digital text input. The deep structure may be modified based, at least partly, on a watermark. Natural language digital text output may be generated based on the modified deep structure.

20100134619, Jun 3, 2010

Dec 1, 2008

12/325389

Arun Hampapur - Norwalk CT, US
Bemice E. Rogowitz - Ossining NY, US
Mercan Topkara - Thornwood NY, US

International Business Machines Corporation - Armonk NY

H04N 7/18
G06Q 10/00

348143, 705 11, 348E07085

An approach that evaluates an effectiveness of a monitoring system is provided. In one embodiment, there is a performance evaluation tool, including an evaluation component configured to receive visual media at a monitoring system monitored by a set of users, and evaluate a monitoring performance of the set of users in response to a simulated alert within the visual media. The performance evaluation tool further comprises an analysis component configured to predict an effectiveness of the monitoring system based on the performance of the set of users in response to the simulated alert within the visual media.

20100180218, Jul 15, 2010

Jan 15, 2009

12/354651

Jeffrey Scott Boston - Wappingers Falls NY, US
Bernice Ellen Rogowitz - Ossining NY, US
Mercan Topkara - Thornwood NY, US
Stephen P. Wood - Thornwood NY, US

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

G06F 3/048
G06Q 99/00
G06F 17/30

715759, 715808, 707E17044, 705319

A system and method for server-side method for editing metadata in a file, the method including steps of: receiving from a user a request for editing the metadata in the file; presenting a window to the user for display on a user's screen wherein the window displays properties of the metadata; receiving from the user an edit to the metadata properties; and updating the metadata properties with the edit received from the user, for producing an updated metadata.

20120001917, Jan 5, 2012

Jun 30, 2010

12/826919

Yurdaer Nezihi Doganata - Chestnut Ridge NY, US
Mercan Topkara - Thornwood NY, US

International Business Machines Corporation - Armonk NY

G06T 11/20
G06F 17/30

345440, 707756, 707E17044, 707802

Provenance techniques are disclosed for managing a history of a meeting. For example, a method for managing a history associated with a meeting comprises the following steps. Data associated with the meeting is collected. Provenance data is generated based on at least a portion of the collected data, wherein the provenance data is indicative of a lineage of one or more data items. A provenance graph is generated that defines a visual representation of the generated provenance data, wherein graph elements comprise one or more nodes and one or more edges between nodes, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. One or more applications are associated with at least one graph element and are selectable to invoke functionality. The generated provenance graph is stored in a repository for use in analyzing the meeting.

20120106925, May 3, 2012

Oct 29, 2010

12/915584

Ahmet Emir Dirik - Bursa, TR
Jennifer Lai - Garrison NY, US
Mercan Topkara - Thornwood NY, US

International Business Machines Corporation - Armonk NY

H04N 9/80

386240, 386243, 386241, 386E09011

Techniques are disclosed for automatic static summarization of videos. For example, a method of creating a static summary of a video comprises the following steps. Shots in the video are detected, wherein the detected shots are frames of the video having a correlation. The detected shots are clustered into clusters based on similarity. The clusters of shots are ranked. At least a portion of the shots are selected based on cluster ranking for inclusion in the static summary. The static summary is generated by combining thumbnail images of the selected shots. Prior to the ranking step, the method may further comprise detecting a presence of slides in any of the shots, and the ranking of a given shot is based in part on whether the shot is a slide. By way of example, such static summaries can be shared in emails and in calendar applications.

20130007066, Jan 3, 2013

Sep 14, 2012

13/616015

Yurdaer Nezihi Doganata - Chestnut Ridge NY, US
Mercan Topkara - Thornwood NY, US

International Business Machines Corporation - Armonk NY

G06F 17/30
G06T 11/20

707802, 345440, 707E17005

Provenance techniques are disclosed for managing a history of a meeting. For example, a method for managing a history associated with a meeting comprises the following steps. Data associated with the meeting is collected. Provenance data is generated based on at least a portion of the collected data, wherein the provenance data is indicative of a lineage of one or more data items. A provenance graph is generated that defines a visual representation of the generated provenance data, wherein graph elements comprise one or more nodes and one or more edges between nodes, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. One or more applications are associated with at least one graph element and are selectable to invoke functionality. The generated provenance graph is stored in a repository for use in analyzing the meeting.

20130132138, May 23, 2013

Nov 23, 2011

13/303573

Yurdaer N. Doganata - Chestnut Ridge NY, US
Mercan Topkara - Thornwood NY, US

International Business Machines Corporation - Armonk NY

G06Q 10/06

705 711

Techniques are disclosed for identifying influence paths and expertise networks in an enterprise using provenance data associated with one or more meetings. For example, a method for processing provenance data comprises the following steps: generating provenance data for each of one or more meetings that capture one or more aspects of each meeting, correlating the provenance data between the one or more meetings, identifying a main topic and one or more sub-topics of each of the one or more meetings to establish a relation between the one or more meetings on a basis of topic, and identifying a path of influence among one or more meetings based on the correlated provenance data and the topic relation of the one or more meetings, wherein a path of influence comprises a meeting that influences one or more subsequent meetings on a basis of provenance data and topic.

20130325972, Dec 5, 2013

May 31, 2012

13/485415

Jeffrey S. Boston - Wappingers Falls NY, US
Jennifer C. Lai - Garrison NY, US
Shimei Pan - Elmsford NY, US
Mercan Topkara - Thornwood NY, US
Stephen P. Wood - Thornwood NY, US

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

G06F 15/16

709206, 709204

Automatically generating a meeting digest of a set of meetings is provided. A set of topics of interest to the parties to the set of meetings is detected utilizing a user model associated with a user that is based on at least one of communications, relationships, and roles of the parties to the set of meetings. Topic-related content associated with the set of topics of interest to the parties is extracted from meeting data corresponding to the set of meetings. Then, the meeting digest of the set of meetings is generated using the topic-related content associated with the set of topics of interest to the parties extracted from the meeting data corresponding to the set of meetings.