CONTEXTUAL KNOWLEDGE MANAGEMENT SYSTEM AND METHOD

• US 20140149330A1
• Filed: 10/31/2013
• Published: 05/29/2014
• Est. Priority Date: 11/29/2012
• Status: Abandoned Application

• Current Assignee: Elon Kaplan, Haggai Zohar
• Original Assignee: Elon Kaplan, Haggai Zohar
• Inventors: Kaplan, Elon, Zohar, Haggai
• Application Number:
  US14/069,161
• Publication Number:
  US 20140149330A1
• Time in Patent Office: Days
• US Class Current: 706/46
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition

Abstract

A computer-based method for personal knowledge management, the method comprising using one or more hardware processors for: detecting copying of data from a source document by the user, on a computer; intercepting the copied data in a clipboard of the computer; collecting and storing in a knowledge database one or more contextual parameter associated with the copied data; upon attempted pasting of the copied data by the user, injecting at least one of said one or more contextual parameter into the clipboard, such that when the copied data is pasted into a target document, said at least one of said one or more contextual parameter is pasted into the target document along with the copied data; executing one or more data retrieval tools to retrieve knowledge from the knowledge database responsive to a query by the user; and displaying one or more records retrieved from the knowledge database to the user.

Claims

1. A computer-based method for personal knowledge management, the method comprising using one or more hardware processors for:

detecting copying of data from a source document by the user, on a computer;

intercepting the copied data in a clipboard of the computer;

collecting and storing in a knowledge database one or more contextual parameter associated with the copied data;

upon attempted pasting of the copied data by the user, injecting at least one of said one or more contextual parameter into the clipboard, such that when the copied data is pasted into a target document, said at least one of said one or more contextual parameter is pasted into the target document along with the copied data;

executing one or more data retrieval tools to retrieve knowledge from the knowledge database responsive to a query by the user; and

displaying one or more records retrieved from the knowledge database to the user.

2. The method according to claim 1, wherein said knowledge database is stored in a server accessible by the computer over a network.

3. The method according to claim 1, further comprising running a background service on the computer, wherein said detecting, intercepting, collecting and injecting are performed by said background service.

4. The method according to claim 1, wherein said source document comprises a web page.

5. The method according to claim 1, wherein said one or more contextual parameters are selected from the group consisting of:

characteristics of a web page, characteristics of the target document, date, time, geographic location of the computer, characteristics of a software and/or a hardware of the computer and demographic characteristics of the user.

6. The method according to claim 1, wherein said collecting is performed fully-automatically, such that computer work of the user is not interrupted.

7. The method according to claim 1, wherein said collecting is performed semi-automatically, and comprises (a) background collecting of at least one of said one or more contextual parameter, and (b) receiving from the user, via manual input, other at least one of said one or more contextual parameter.

8. The method according to claim 7, further comprising retaining said other at least one of said one or more contextual parameter for future use, such that future collecting is performed fully-automatically.

9. The method according to claim 1, wherein said at least one of said one or more contextual parameter is pasted into the target document as text, said at least one of said one or more contextual parameter being a printable part of said target document.

10. The method according to claim 1, wherein said at least one of said one or more contextual parameter is pasted into the target document as hidden text, said at least one of said one or more contextual parameter not being a printable part of said target document.

11. The method according to claim 1, wherein said copied data is pasted into said target document such that to form an actionable link to said source document.

12. The method according to claim 1, wherein said copied data is pasted into said target document such that to form an actionable link to a location in said computer in which said copied data and said at least one of said one or more contextual parameter are stored.

13. The method according to claim 1, wherein said one or more data retrieval tools are selected from the group consisting of:

full-text search tools, semantic search tools, statistical engines and/or business intelligence tools.

14. The method according to claim 1, wherein said one or more data retrieval tools is a semantic search engine.

15. The method according to claim 14, wherein said knowledge database is used for training said semantic search engine.

16. A computer-based method for organizational knowledge management, the method comprising:

(a) for each of multiple members of an organization;

detecting copying of data from a source document by a member of said multiple members the organization, on a computer;

intercepting the copied data in a clipboard of the computer;

collecting and storing in a knowledge database one or more contextual parameter associated with the copied data;

upon attempted pasting of the copied data by the member, injecting at least one of said one or more contextual parameter into the clipboard, such that when the copied data is pasted into a target document, said at least one of said one or more contextual parameter is pasted into the target document along with the copied data;

(b) executing one or more data retrieval tools to retrieve knowledge of at least some of said multiple members from the knowledge database, responsive to a query by a member of said multiple members; and

(c) displaying one or more records retrieved from the knowledge database to the member.

17. The method according to claim 16, wherein said one or more data retrieval tools is a semantic search engine.

18. A computer-based method for global knowledge management, the method comprising:

(a) for each of multiple Internet users;

detecting copying of data from a source document by a user of said Internet users, on a computer;

intercepting the copied data in a clipboard of the computer;

collecting and storing in a knowledge database one or more contextual parameter associated with the copied data;

upon attempted pasting of the copied data by the Internet users, injecting at least one of said one or more contextual parameter into the clipboard, such that when the copied data is pasted into a target document, said at least one of said one or more contextual parameter is pasted into the target document along with the copied data;

(b) executing one or more data retrieval tools to retrieve knowledge of at least some of said Internet users from the knowledge database, responsive to a query by user of said multiple Internet users; and

(c) displaying one or more records retrieved from the knowledge database to the user.

19. The method according to claim 18, wherein said one or more data retrieval tools is a semantic search engine.

20. The method according to claim 19, wherein said knowledge database is used for training said semantic search engine.