AUTOMATED SURFACING OF TAGGED CONTENT ADJUNCT TO VERTICAL APPLICATIONS

• US 20090183082A1
• Filed: 01/16/2008
• Published: 07/16/2009
• Est. Priority Date: 01/16/2008
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Stern, Edith H., Willner, Barry E., O'Sullivan, Patrick J., Weir, Robert C.
• Granted Patent: US 10,699,242 B2
• Time in Patent Office: Days
• US Class Current: 715/738
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

Embodiments of the present invention address deficiencies of the art in respect to social bookmarking and provide a method, system and computer program product for automated surfacing of tagged content adjunct to a vertical application. In an embodiment of the invention, a method for automatically surfacing tagged content in a vertical application can be provided. The method can include receiving and parsing text from content in an end user application, comparing the parsed text to social bookmarks and associated metadata from a social bookmarking system and matching portions of the content to respective ones of the social bookmarks and associated metadata based upon the comparison, and directing a visual emphasis of the matched portions of the content in the end user application, whereby the end user application is unmodified to perform the receiving, comparing and directing steps.

Claims

1. A method for automatically surfacing tagged content adjunct to a vertical application, the method comprising:

receiving and parsing text from content in an end user application;

comparing the parsed text to social bookmarks and associated metadata from a social bookmarking system and matching portions of the content to respective ones of the social bookmarks and associated metadata based upon the comparison; and

,

directing a visual emphasis of the matched portions of the content in the end user application,

whereby the end user application is unmodified to perform the receiving, comparing and directing steps.

2. The method of claim 1, wherein comparing the parsed text to social bookmarks and associated metadata from a social bookmarking system and matching portions of the content to respective ones of the social bookmarks and associated metadata based upon the comparison, further comprises restricting the parsed text to a limited vocabulary when comparing the parsed text to the social bookmarks and associated metadata.

3. The method of claim 1, further comprising directing the toggling of the visual emphasis of the matched portions of the content in the end user application.

4. The method of claim 1, further comprising directing an appendage of a source indicator for the visually emphasized matched portions of the content.

5. A social bookmarking data processing system comprising:

auto-surfacing logic coupled to but separate from an end user application executing in an end user computing device and a social bookmarking system executing in a host server and managing a plurality of social bookmarks, the logic comprising program code enabled to receive the content from the display, to parse the content into text, for comparing to the social bookmarks and associated metadata, and for matching portions of the content to respective ones of the social bookmarks and associated metadata based upon the comparison, and to direct the end user application to visually emphasize the matched portions of the content.

6. The system of claim 5, wherein the auto-surfacing logic subclasses a display event in the end user application.

7. The system of claim 5, wherein the auto-surfacing logic is a helper application coupled to the end user application.

8. The system of claim 5, wherein the auto-surfacing logic resides in the host server and has a hook into the end user application.

9. The system of claim 5, wherein the auto-surfacing logic resides in the end user computing device.

10. A computer program product comprising a computer usable medium embodying computer usable program code for automatically surfacing tagged content adjunct to a vertical application, the computer program product comprising:

computer usable program code for receiving and parsing text from content in an end user application;

computer usable program code for comparing the parsed text to social bookmarks and associated metadata from a social bookmarking system and matching portions of the content to respective ones of the social bookmarks and associated metadata based upon the comparison; and

,

computer usable program code for directing a visual emphasis of the matched portions of the content in the end user application,

whereby the end user application is unmodified to perform the receiving, comparing and directing steps.

11. The computer program product of claim 10, wherein the computer usable program code for comparing the parsed text to social bookmarks and associated metadata from a social bookmarking system and matching portions of the content to respective ones of the social bookmarks and associated metadata based upon the comparison, further comprises computer usable program code for restricting the parsed text to a limited vocabulary when comparing the parsed text to the social bookmarks and associated metadata.

12. The computer program product of claim 10, further comprising computer usable program code for directing the toggling of the visual emphasis of the matched portions of the content in the end user application.

13. The computer program product of claim 10, further comprising computer usable program code for directing an appendage of a source indicator for the visually emphasized matched portions of the content.