SMART DOCUMENT PROCESSING WITH ASSOCIATED ONLINE DATA AND ACTION STREAMS

• US 20130212463A1
• Filed: 10/31/2012
• Published: 08/15/2013
• Est. Priority Date: 09/07/2004
• Status: Abandoned Application

• Current Assignee: Evernote Corp. (Bending Spoons SpA)
• Original Assignee: Evernote Corp. (Bending Spoons SpA)
• Inventors: PACHIKOV, Alex, CONSTANTINOU, Phil, LIBIN, Phil, COARNA, Alexandru Gabriel, BIGNERT, Jakob, DAVIS, Julia, GULLIKSEN, Ken, PACHIKOV, Stepan, KVITEK, Peter
• Application Number:
  US13/664,667
• Publication Number:
  US 20130212463A1
• Time in Patent Office: Days
• US Class Current: 715/234
• CPC Class Codes: G06F 40/10 Text processing natural language analysis G06F40/20; semantic analysis G06F40/30; processing or translation of natural language G06F40/40
• CPC Class Codes: G06F 40/279 Recognition of textual entities

Abstract

Managing electronic notes includes storing data for at least one of the electronic notes, determining at least one particular action to be performed based on the content of the at least one of the notes, and automatically performing the at least one particular action. The at least one particular action may be determined automatically based on data stored in the at least one of the notes or may be determined by a user providing input to select an action. Actions may be recommended to a user based on at least one of: the extracted terms and the additional online information. Managing electronic notes may also include storing additional data and instructions to perform the at least one particular action.

Claims

1. A method of managing electronic notes, comprising:

storing data for at least one of the electronic notes;

determining at least one particular action to be performed based on the content of the at least one of the notes; and

automatically performing the at least one particular action.

2. A method, according to claim 1, wherein the at least one particular action is determined automatically based on data stored in the at least one of the notes.

3. A method, according to claim 1, wherein the at least one particular action is determined by a user providing input to select an action.

4. A method, according to claim 1, wherein storing data for at least one of the notes includes extracting key content from a Web page.

5. A method, according to claim 4, further comprising:

extracting significant terms from the key content using natural language processing.

6. A method, according to claim 5, wherein the extracted terms include at least one of names of goods, names of services, travel destinations, and personal names.

7. A method, according to claim 5, further comprising:

conducting additional searches of online repositories using the extracted terms to retrieve additional online information.

8. A method, according to claim 7, wherein actions are recommended to a user based on at least one of:

the extracted terms and the additional online information.

9. A method, according to claim 1, further comprising:

storing additional data and instructions to perform the at least one particular action.

10. A method, according to claim 1, wherein the at least one particular action includes at least one of:

directing a Web page visitor to product, shopping, finance or other portals, recommending choices based on information obtained from an online price lists, putting a user in contact with a person whose name is found in a retrieved document, retrieving and storing information for a particular company and setting up a stock tracker for the particular company, reminding a user about payments due, making calculations based on note content, and providing concert and event locations and schedules by categories.

11. A method, according to claim 1, wherein the at least one particular action is invoked using at least one of:

preprogrammed scripts attached to individual notes and a system-wide action engine.

12. Computer software, provided in a non-transitory computer readable medium, that manages electronic notes, the software comprising:

executable code that stores data for at least one of the electronic notes;

executable code that determines at least one particular action to be performed based on the content of the at least one of the notes; and

executable code that automatically performs the at least one particular action.

13. Computer software, according to claim 12, wherein the at least one particular action is determined automatically based on data stored in the at least one of the notes.

14. Computer software, according to claim 12, wherein the at least one particular action is determined by a user providing input to select an action.

15. Computer software, according to claim 12, wherein storing data for at least one of the notes includes extracting key content from a Web page.

16. Computer software, according to claim 15, further comprising:

executable code that extracts significant terms from the key content using natural language processing.

17. Computer software, according to claim 16, wherein the extracted terms include at least one of names of goods, names of services, travel destinations, and personal names.

18. Computer software, according to claim 16, further comprising:

executable code that conducts additional searches of online repositories using the extracted terms to retrieve additional online information.

19. Computer software, according to claim 18, wherein actions are recommended to a user based on at least one of:

the extracted terms and the additional online information.

20. Computer software, according to claim 12, further comprising:

executable code that stores additional data and instructions to perform the at least one particular action.

21. Computer software, according to claim 12, wherein the at least one particular action includes at least one of:

directing a Web page visitor to product, shopping, finance or other portals, recommending choices based on information obtained from an online price lists, putting a user in contact with a person whose name is found in a retrieved document, retrieving and storing information for a particular company and setting up a stock tracker for the particular company, reminding a user about payments due, making calculations based on note content, and providing concert and event locations and schedules by categories.

22. Computer software, according to claim 12, wherein the at least one particular action is invoked using at least one of:

preprogrammed scripts attached to individual notes and a system-wide action engine.