Intent-based information processing and updates

• US 8,032,823 B2
• Filed: 04/17/2006
• Issued: 10/04/2011
• Est. Priority Date: 04/15/2005
• Status: Active Grant

• Current Assignee: Carnegie Mellon University
• Original Assignee: Carnegie Mellon University
• Inventors: Zimmerman, John Doyle, Tomasic, Anthony Slavko
• Primary Examiner(s): RIES, LAURIE ANNE
• Application Number:
  US11/405,616
• Publication Number:
  US 20060235690A1
• Time in Patent Office: 1,996 Days
• Field of Search: 715/224, 715/225, 715/226, 715/256, 706/927
• US Class Current: 715/226
• CPC Class Codes: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G10L 15/18 using natural language modelling

Abstract

In various embodiments, a method for processing a user request is provided. The method may include receiving input data from a user including at least natural language associated with a user request; analyzing the user input data with an intermediary agent; selecting at least one form based on analyzing the user input data; and, executing at least one update based on at least one form.

Claims

1. A system for processing a user request, the system comprising:

an intermediary agent configured for receiving input data from a user, the input data including at least natural language associated with a user request, wherein the intermediary agent includes an electronic computer processor and at least one electronic non-transitory computer-readable medium,

an analysis module operatively associated with the intermediary agent, wherein the analysis module is configured for analyzing the user input data;

the intermediary agent being further configured for;

selecting at least one form based on analyzing the user input data; and

,

executing at least one update based on at least the selected form; and

,

a learning system operatively associated with the intermediary agent, the learning system configured for;

electronically receiving information regarding processing of the request; and

adding an example to the learning system, wherein the example is derived from performance of the intermediary agent with regard to processing the request.

2. The system of claim 1, further comprising the intermediary agent being configured for filling the selected form with data responsive to the user request.

3. The system of claim 2, further comprising the intermediary agent being configured for presenting at least one of the filled forms to the user.

4. The system of claim 3, further comprising the intermediary agent being configured for permitting approval by the user of at least one of the presented forms.

5. The system of claim 3, further comprising the intermediary agent being configured for permitting repair of at least a portion of at least one of the filled forms.

6. The system of claim 3, further comprising the intermediary agent being configured for presenting a preview of consequences of approval of at least one of the filled forms.

7. The system of claim 1, further comprising the intermediary agent being configured for selecting a plurality of forms.

8. The system of claim 7, further comprising the intermediary agent being configured for prioritizing the plurality of forms.

9. The system of claim 1, further comprising the intermediary agent being configured for modifying at least a portion of the user input data with at least one augmentation.

10. The system of claim 1, further comprising the intermediary agent being configured for compiling at least one update or update consequence in association with analyzing the user input data.

11. The system of claim 1, further comprising the intermediary agent being configured for adding at least one example to the learning module in association with repair of a form.

12. The system of claim 1, wherein the input data includes at least one communication selected from the group consisting of an e-mail message, an instant message (IM), a pager message, a message recorded on a phone, a web page, a hyperlink, a short message service (SMS) message, a document, a publishing syndication field, a blog, and a speech-to-text generated message.

13. The system of claim 1, further comprising the intermediary agent being configured for modifying the input data to include a representation of all available forms.

14. The system of claim 1, further comprising the intermediary agent being configured for permitting the user to select a form matching the intent of the request.

15. The system of claim 1, further comprising the intermediary agent being configured for presenting a form to the user.

16. The system of claim 15, wherein the presented form includes all control elements available for update with at least one control element completed.

17. The system of claim 15, wherein the presented form includes the input data and a form including all control elements available for update with at least one control element completed.

18. The system of claim 15, wherein the form includes at least a portion of the input data.

19. The system of claim 15, further comprising the intermediary agent being configured for permitting the user to select a target entity for update.

20. The system of claim 15, wherein at least a portion of the presented form uses an action indicator to communicate an action taken.

21. A non-transitory computer-readable medium including instructions for causing a computer system to execute a method for processing a user request, the medium comprising:

instructions for receiving input data from a user in an electronic intermediary agent, wherein the input data includes at least natural language associated with a user request;

instructions for electronically analyzing the user input data with an analysis module of the intermediary agent;

instructions for electronically selecting at least one form based on analyzing the user input data;

instructions for electronically executing at least one update based on at least the selected form;

instructions for electronically forwarding information regarding processing of the request to an electronic learning system operatively associated with the intermediary agent; and

instructions for adding an example to the learning system, wherein the example is derived from performance of the intermediary agent with regard to processing the request.