Rajendran M Sivasankaran

6493721, Dec 10, 2002

Mar 31, 1999

09/283820

Jeffrey Getchius - Cambridge MA
Ahmad Mortazavi - Sudbury MA
Rajendran Sivasankaran - Waltham MA
Ramakrishnan Venugopal - Chelmsford MA

Verizon Laboratories Inc. - Waltham MA

G06F 1700

7071041, 707100

Disclosed is a system for performing online data queries. The system for performing online data queries is a distributed computer system with a plurality of server nodes each filly redundant and capable of processing a user query request. Each server node includes a data query cache and other caches that may be used in performing data queries. The data query, as well as request allocation, is performed in accordance with an adaptive partitioning technique with a bias towards an initial partitioning scheme. Generic objects are created and used to represent business listings upon which the user may perform queries. Various data processing and integration techniques are included which enhance data queries. An update technique is used for synchronizing data updates as needed in updating the plurality of server nodes. A multimedia data transfer technique is used to transfer non-text or multi-media data between various components of the online query tool.

20030061028, Mar 27, 2003

Sep 21, 2001

09/956889

Jayanta Dey - Cambridge MA, US
Rajendran Sivasankaran - Somerville MA, US

KNUMI INC.

G06F017/27

704/009000

A tool for learning to relate annotations and transcript of a multimedia sequence to nodes in a formally or semi-formally represented ontology covering a broad range of possible multimedia documents. The device includes learning data preparation that involves certain special techniques for deriving data from the past mappings of annotations to nodes in an ontology, building inverted indices maintaining certain special statistics and a retriever that exploits these special statistics to rank the relevance of the nodes in an ontology for a given a set of new annotations.

20040034532, Feb 19, 2004

Aug 16, 2002

10/219458

Sugata Mukhopadhyay - Chelmsford MA, US
Adam Jenkins - Somerville MA, US
Ranjit Desai - Sudbury MA, US
Jayanta Dey - Cambridge MA, US
Rajendran Sivasankaran - Somerville MA, US
Michael Swain - Newton MA, US
Phong Ly - Somerville MA, US

G10L021/00

704/270100

A combination of a series of filters and a specification language is used to rapidly enable voice access to an external data repository. The filters include a data-to-voice filter operating on data values that flow from the data repository to a communication system, a voice-to-data filter capturing voice inputs and storing data related to such inputs in the data repository, an utterance filter normalizing spoken data inputs in a particular format, a validation filter checking values returned by the speech recognizer, and a data description filter creating spoken formats of data labels or descriptions. Also included is a pair of dictionaries: name pronunciation dictionary for ensuring correct pronunciation of words and a name grammar dictionary providing variations associated with a name.

20040073430, Apr 15, 2004

Oct 10, 2002

10/267929

Ranjit Desai - Sudbury MA, US
Sugata Mukhopadhyay - Chelmsford MA, US
Jayanta Dey - Cambridge MA, US
Rajendran Sivasankaran - Somerville MA, US
Adam Jenkins - Somerville MA, US
Michael Swain - Newton MA, US

G10L021/00

704/270100

A modular architecture is described for providing an intelligent media processing and language architecture working in conjunction with a speech application. The modular architecture comprises four modules: a user profile module, an active audio markup language (AAML) module, a real-time monitoring and sensing module, and a process and control module. The user profile module enables creation of personal profiles and is capable of learning user preferences. The AAML module provides a rich media representation wherein an AAML codec is provided as a part of the module. The processing and control module is responsible for processing the information received from each of the other modules, interpreting the received information, and intelligently routing it to the application layer.

6484161, Nov 19, 2002

Mar 31, 1999

09/283837

Renu Chipalkatti - Lexington MA
Lazar Koyfman - Sudbury MA
Jeffrey Getchius - Cambridge MA
Ramakrishnan Venugopal - Chelmsford MA
Cary Scofield - Litchfield NH
Rajendran Sivasankaran - Waltham MA
Siping Liu - Framingham MA

Verizon Laboratories Inc. - Waltham MA

G06F 1730

707 3, 707 2, 707 4, 707 10

Disclosed is a system for performing online data queries. The system for performing online data queries in a distributed computer system with a plurality of server nodes each fully redundant and capable of processing a user query request. Each server node includes a data query cache and other caches that may be used in performing data queries. The data query, as well as request allocation, is performed in accordance with an adaptive partitioning technique with a bias towards an initial partitioning scheme. Generic objects are created and used to represent business listings upon which the user may perform queries. Various data processing and integration techniques are included which enhance data queries. An update technique is used for synchronizing data updates as needed in updating the plurality of server nodes. A multi-media data transfer technique is used to transfer non-text or multi-media data between various components of the online query tool.