David W Kay

US Patent:

6711585, Mar 23, 2004

Filed:

Jun 15, 2000

Appl. No.:

09/594083

Inventors:

Max Copperman - Santa Cruz CA
Mark Angel - Cupertino CA
Jeffrey H. Rudy - San Jose CA
Scott B. Huffman - Redwood City CA
David B. Kay - Los Gatos CA
Raya Fratkina - Hayward CA

Assignee:

Kanisa Inc. - Cupertino CA

International Classification:

G06F 1730

US Classification:

7071041

Abstract:

A method and system organize and retrieve information using taxonomies, a document classifier, and an autocontextualizer. Documents (or other knowledge containers) in an organization and retrieval subsystem may be manually or automatically classified into taxonomies. Documents are transformed from clear text into a structured record. Automatically constructed indexes help identify when the structured record is an appropriate response to a query. An automatic term extractor creates a list of terms indicative of the documents subject matter. A subject matter expert identifies the terms relevant to the taxonomies. A term analysis system assigns the relevant terns to one or more taxonomies, and a suitable algorithm is then used to determine the relatedness between each list of terms and its associated taxonomy. The system then clusters documents for each taxonomy in accordance with the weights ascribed to the terms in the taxonomys list and a directed acyclic graph (DAG) structure is created.

US Patent:

6980984, Dec 27, 2005

Filed:

May 16, 2002

Appl. No.:

10/150885

Inventors:

Scott B. Huffman - Redwood City CA, US
David B. Kay - Los Gatos CA, US

Assignee:

Kanisa, Inc. - Cupertino CA

International Classification:

G06F017/30

US Classification:

707 3, 7071041

Abstract:

This document discusses, among other things, systems, devices, and methods for implementing a content provider using at least one structured data attribute, with an integer, float, string, or date value or the like. One or more such structured data attributes is obtained from a user query, a user attribute, a user selection, a document or other content resource, or an instance within an interactive user-provider dialog. One or more such structured data attributes is auto-mapped to a set of ordered concepts in an at least partially ordered taxonomy of a knowledge map representing a multidimensional organization of such concepts. A structured data attribute and/or an ordered concept is used to control the dialog, constrain a user's search, or order and present search results, either alone, or in combination with nonstructured (e. g. , textual) data and/or one or more concepts that is not ordered using a structured data parameter.

US Patent:

7376620, May 20, 2008

Filed:

Jul 23, 2001

Appl. No.:

09/911839

Inventors:

David B. Kay - Los Gatos CA, US
Denis Lynch - San Jose CA, US
Mark Angel - Napa CA, US
Shafi Mohammed - Moutain View CA, US
Catherine Wormington - San Carlos CA, US

Assignee:

Consona CRM Inc. - Indianapolis IN

International Classification:

G06Q 40/00

US Classification:

705 40, 705 36, 705 35, 705 26

Abstract:

In an information retrieval application, a system and method for detecting content holes. A content body is parsed into a plurality of concepts nodes, including a first concept node. A percentage of successful service interactions is determined as a function of concept node and, if the percentage of successful service interactions at the first concept node is below a predefined threshold, a content hole is flagged.

US Patent:

7401087, Jul 15, 2008

Filed:

Jul 1, 2003

Appl. No.:

10/610994

Inventors:

Max Copperman - Santa Cruz CA, US
Mark Angel - Cupertino CA, US
Jeffrey H. Rudy - San Jose CA, US
Scott B. Huffman - Redwood City CA, US
David B. Kay - Los Gatos CA, US
Raya Fratkina - Hayward CA, US

Assignee:

Consona CRM, Inc. - Indianapolis IN

International Classification:

G06F 17/00

US Classification:

707101, 707102, 7071041, 707103 R

Abstract:

A method and system organize and retrieve information using taxonomies, a document classifier, and an autocontextualizer. Documents (or other knowledge containers) in an organization and retrieval subsystem may be manually or automatically classified into taxonomies. Documents are transformed from clear text into a structured record. Automatically constructed indexes help identify when the structured record is an appropriate response to a query. An automatic term extractor creates a list of terms indicative of the documents' subject matter. A subject matter expert identifies the terms relevant to the taxonomies. A term analysis system assigns the relevant terms to one or more taxonomies, and a suitable algorithm is then used to determine the relatedness between each list of terms and its associated taxonomy. The system then clusters documents for each taxonomy in accordance with the weights ascribed to the terms in the taxonomy's list and a directed acyclic graph (DAG) structure is created.

US Patent:

7539656, May 26, 2009

Filed:

Mar 6, 2001

Appl. No.:

09/798964

Inventors:

Raya Fratkina - Hayward CA, US
Monica Anderson - San Jose CA, US
Mark A. Angel - Cupertino CA, US
Max Copperman - Santa Cruz CA, US
Scott B. Huffman - Redwood City CA, US
David Kay - Los Gatos CA, US
Robert Stern - Cupertino CA, US

Assignee:

Consona CRM Inc. - Indianapolis IN

International Classification:

G06F 17/00
G06F 17/30
G06N 5/00

US Classification:

706 45, 707 3, 7071041

Abstract:

A method and system are disclosed for retrieving information through the use of a multi-stage interaction with a client to identify particular knowledge content associated with a knowledge map. The present invention is an application program running on a server accessed via the world-wide web or other data network using standard Internet protocols, a web browser and web server software. In addition to an automated portion, the present invention allows a human dialog designer to model the way the system elicits information, giving a human feel to the dialog and a better customer experience. In operation, users start a dialog by directing their web browser to a designated web page. This web page asks the user some initial questions that are then passed to a dialog engine. The dialog engine then applies its methods and algorithms to a knowledge map, using dialog control information\ and the user's responses to provide feedback to the user. The feedback may include follow-up questions, relevant documents, and instructions to the user (e. g.

US Patent:

20070033221, Feb 8, 2007

Filed:

Oct 5, 2006

Appl. No.:

11/543563

Inventors:

Max Copperman - Santa Cruz CA, US
Mark Angel - Cupertino CA, US
Jeffrey Rudy - San Jose CA, US
Scott Huffman - Redwood City CA, US
David Kay - Los Gatos CA, US
Raya Fratkina - Hayward CA, US

International Classification:

G06F 7/00

US Classification:

70710300R

Abstract:

A method and system organize and retrieve information using taxonomies, a document classifier, and an autocontextualizer. Documents (or other knowledge containers) in an organization and retrieval subsystem may be manually or automatically classified into taxonomies. Documents are transformed from clear text into a structured record. Automatically constructed indexes help identify when the structured record is an appropriate response to a query. An automatic term extractor creates a list of terms indicative of the documents' subject matter. A subject matter expert identifies the terms relevant to the taxonomies. A term analysis system assigns the relevant terms to one or more taxonomies, and a suitable algorithm is then used to determine the relatedness between each list of terms and its associated taxonomy. The system then clusters documents for each taxonomy in accordance with the weights ascribed to the terms in the taxonomy's list and a directed acyclic graph (DAG) structure is created.