Method and system context-aware for identifying, activating and executing software that best respond to user requests generated in natural language

• US 20100004924A1
• Filed: 07/03/2008
• Published: 01/07/2010
• Est. Priority Date: 07/03/2008
• Status: Abandoned Application

• Current Assignee: Yuri Luis Paez
• Original Assignee: Yuri Luis Paez
• Inventors: Paez, Yuri Luis
• Application Number:
  US12/167,247
• Publication Number:
  US 20100004924A1
• Time in Patent Office: Days
• US Class Current: 704/9
• CPC Class Codes: G06F 16/3329 Natural language query formulation or dialogue systems
• CPC Class Codes: G06F 40/35 Discourse or dialogue representation

Abstract

A computer-implemented method capable of identifying, activating, and executing commands, methods, functions, interfaces, and software-based applications that can satisfy a specific natural language user request represented by a text stream and generated from any means such as typing, voice, gestures, signs or by human thoughts.

Claims

1. ) A computer-implemented method for identifying commands, functions, interfaces, and software-based applications that can satisfy a specific user request generated by any mean such as typing, voice, gestures, signs or by human thoughts which can be translated into a natural language text stream. The method comprises:

identifying the context from where the request take place;

identifying the verb, object and keywords from the text stream which contains the user request expressed in natural language;

searching for the software applications or functionalities associated to the context, verbs, objects, and keywords and their synonyms or alias into the repository;

looking for a solution or a set of matches solutions for the user request; and

activating or executing the solution selected by the user if necessary.

2. ) The method of claim 1, wherein using an universal database of associations relating software, applications, systems, software modules, components, libraries, commands and interfaces with contexts, verbs, objects, keywords and their synonyms or alias.

3. ) The method of claim 1, wherein the method is implemented as part of an operating system.

4. ) The method of claim 1, wherein the method is implemented as part of an software application.

5. ) The method of claim 1, wherein the method is implemented as part of a voice-recognition, gesture-recognition, thought-recognition, text-based, or graphical user interface.

6. ) The method of claim 1, wherein the method is implemented as a software component.

7. ) The method of claim 1, wherein the method is implemented as a part of an Internet Browser.

8. ) The method of claim 1, wherein the method is implemented as a part of a Web application.

9. ) The method of claim 1, wherein the method is implemented as a part of a Web site or any of its components.

10. ) The method of claim 1, wherein the method is implemented as a part of a mobile device.

11. ) The method of claim 1, that'"'"'s implements a dynamic context tool bar based on the statics of the requests made by the user or users.