Natural language knowledge processor using trace or other cognitive process models

• US 7,853,551 B1
• Filed: 04/10/2007
• Issued: 12/14/2010
• Est. Priority Date: 06/25/2002
• Status: Expired due to Fees

• Current Assignee: Susan P. Gill
• Original Assignee: Susan P. Gill
• Inventors: Gill, Susan P. (Zann)
• Primary Examiner(s): Holmes; Michael B.
• Assistant Examiner(s): COUGHLAN, PETER D
• Application Number:
  US11/733,736
• Time in Patent Office: 1,344 Days
• Field of Search: 706/55
• US Class Current: 706/55
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

A computer implemented method for process data management displays a set of natural language questions and provides an organizational framework for passively and actively collecting natural language information so users can coordinate problem-solving and project development. It addresses the application domain of collaborative group process and/or collaborative intelligence among humans and/or intelligent agents. In one embodiment, the method collects responses to the trigger questions; displays natural language reaction questions relating to collection of reactions to the triggers and receiving responses to the reaction questions; receives inputs of action steps to address the problem based on the triggers and reactions; guides the user to identify conflicts based on the triggers, reactions, and actions steps; generates a navigable map based on the triggers, reactions, actions steps, and conflicts for use to support and track the problem-solving process; and displays prompts for evaluating the problem based on the map.

Claims

1. A computer implemented method for process data management, wherein said method can be implemented on computers using the internet, intranet, wireless communication network or mobile devices, the method comprising:

(a) displaying a set of natural language prompts related to a problem for each of a plurality of structured stages;

(b) receiving input in response to the prompts;

(c) using project stages as a reference system for interface design; and

(d) supporting transaction and collaboration among a plurality of users.

2. The method of claim 1, wherein the displaying (a) comprises:

(a1) displaying a set of natural language trigger questions relating to identification of triggers for a problem and receiving responses to the set of trigger questions; and

(a2) displaying a set of natural language reaction questions relating to collection of reactions to the triggers and receiving responses to the set of reaction questions.

3. The method of claim 2, wherein the displaying (a1) comprises:

(a1i) displaying a series of menus comprising the trigger questions.

4. The method of claim 2, wherein the displaying (a2) comprises:

(a2i) displaying a series of menus comprising the reaction questions.

5. The method of claim 1, wherein the receiving (b) comprises:

(b1) receiving inputs of action steps to address the problem based on the triggers and the reactions.

6. The method of claim 5, wherein the receiving (b1) comprises:

(b1i) displaying a series of menus comprising questions to identify one or more action steps.

7. The method of claim 1, further comprising (e) generating a map based on the responses wherein the generating (c) comprises:

(e1) identifying conflicts, competitive issues, contingency based on the triggers, the reactions, and the action steps;

(e2) generating a map based on the triggers, reactions, action steps, and conflicts; and

(e3) displaying prompts for evaluating the problem based on prior inputs and supported by mapping the problem-solving process.

8. The method of claim 7, wherein the identifying (e1) further comprises:

(e1i) methods to filter inputs, a map of alternative problem-solving strategies and representation of hazards and risks and identification of conflicting data and priorities.

9. The method of claim 7, wherein the map comprises connections between the triggers, reactions, action steps, conflicts and their relationships.

10. The method of claim 1, wherein each stage may be performed, repeated, or executed in any order.

11. The method of claim 1, further comprising:

(e) using a process map as a template for data input and as a framework for storing said data such that the data can be retrieved wherein said retrieval is by conventional methods of key word search, by its position in the TRACE Cognitive Model, or other cognitive process framework.

12. The method of claim 11, wherein the stored data is categorized.

13. The method of claim 12, wherein categorized data supports effective data queries for cross-disciplinary knowledge building.

14. The method of claim 11, wherein the stored data is time stamped.

15. The method of claim 14, wherein the time stamped data supports process record-keeping, content tagging, content tracking and knowledge management.

16. The method of claim 1, wherein the method is implemented for at least one of the following:

project management;

collaboration facilitation;

work process monitoring and tracking;

learning curriculum;

or

knowledge management.

17. The method of claim 1, further comprising:

(e) collaborative transaction capability and support for collaboration among a plurality of users, said users working synchronously or asynchronously, distributed or in one location.

18. The method of claim 1, wherein the method is implemented in an Intranet or other controlled communication system, allowing different levels of access and privacy to support teams working on confidential projects to converge systematically toward shared plans or problem resolutions.

19. The method of claim 1, further comprising:

(e) a toggle between an active and a passive mode, wherein the active mode categorizes and orders inputs received in any of the stages, wherein the passive mode allows for navigating and searching the inputs.

20. The method of claim 1, wherein in the active mode, inputs are logged and operations can be performed on the inputs.

21. The method of claim 20, wherein in the passive mode, natural language searches of inputs in information resources and knowledge archives is provided, wherein said natural language searches are used to augment the active input of the user.

22. The method of claim 1, wherein a user'"'"'s path is recorded and stored and can be compared with other user paths.

23. The method of claim 22, wherein the stored path and other user input is used in a variety of ways, including to study user preferences and support updates and refinements to a knowledge processor.

24. A computer implemented method for process data management, comprising:

(a) displaying a set of natural language prompts related to a problem for each of a plurality of structured stages, wherein the prompts are dynamically generated based on previously received responses;

(b) receiving input in response to the prompts; and

(c) generating a map based on the responses;

wherein the method is implemented as an Internet-based system further comprising;

(d) collaborative transaction capability and support for collaboration among a plurality of users.