SEMANTIC NOTE TAKING SYSTEM

• US 20140089313A1
• Filed: 12/06/2013
• Published: 03/27/2014
• Est. Priority Date: 01/27/2009
• Status: Active Grant

• Current Assignee: Andreas Schobel, Stephen J Brown
• Original Assignee: Andreas Schobel, Stephen J Brown
• Inventors: Brown, Stephen J., Schobel, Andreas
• Granted Patent: US 9,141,698 B2
• Time in Patent Office: Days
• US Class Current: 707/740
• CPC Class Codes: G06F 16/95 Retrieval from the web
• CPC Class Codes: G06F 16/9554 by using bar codes
• CPC Class Codes: G06K 7/10554 Moving beam scanning
• CPC Class Codes: G06K 7/1413 1D bar codes
• CPC Class Codes: G06K 7/1417 2D bar codes
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

A semantic note taking system and method for collecting information, enriching the information, and/or binding the information to services is provided. User-created notes are enriched with labels, context traits, and relevant data to minimize friction in the note-taking process. In other words, the present invention is directed to collecting unscripted data, adding more meaning and use out of the data, and binding the data to services. Mutable and late-binding to services is also provided to allow private thoughts to be published to a myriad of different applications and services in a manner compatible with how thoughts are processed in the brain. User interfaces and semantic skins are also provided to derive meaning out of notes without requiring a great deal of user input. Linking physical objects to notes are also provided, such as through QR codes.

Claims

1. A method comprising:

creating a note at a first mobile device including a sensor;

receiving supplemental information associated with a physical object;

associating the supplemental information and data from the sensor with the note to yield a supplemented note;

sharing the supplemented note with a second mobile device; and

categorizing the supplemented note based on at least one of the supplemental information or the data from the sensor.

2. The method of claim 1, wherein the supplemental information comprises at least one of an image of the physical object, information derived from the image of the physical object, wirelessly received information, a code associated with the physical object, information based on the code, or contextual traits related to the physical object.

3. The method of claim 2, wherein the contextual traits comprise at least one of a location, a place, a time, a source, a related note, a person, people, a group, a tag, an identity, sensor data, a media file, an audio file, physical data relating to the first mobile device, or derived data.

4. The method of claim 2, wherein the image of the physical object comprises a visual representation of a machine readable code.

5. The method of claim 4, wherein the machine readable code comprises at least one of a quick response (QR) code or a bar code.

6. The method of claim 1, wherein the note comprises at least one of text, audio media, visual media, audio-visual media, recorded data, a weblink, or a pointer to an information source.

7. A system comprising:

a processor;

a computer-readable storage device having stored therein instructions which, when executed by the processor, cause the processor to perform operations comprising;

creating a note at a first mobile device including a sensor;

receiving supplemental information associated with a physical object;

associating the supplemental information and data from the sensor with the note to yield a supplemented note;

sharing the supplemented note with a second mobile device; and

categorizing the supplemented note based on at least one of the supplemental information or the data from the sensor.

8. The system of claim 7, wherein the supplemental information comprises at least one of an image of the physical object, information derived from the image of the physical object, wirelessly received information, a code associated with the physical object, information based on the code, or contextual traits related to the physical object.

9. The system of claim 8, wherein the contextual traits comprise at least one of a location, a place, a time, a source, a related note, a person, people, a group, a tag, an identity, sensor data, a media file, an audio file, physical data relating to the first mobile device, or derived data.

10. The system of claim 8, wherein the image of the physical object comprises a visual representation of a machine readable code.

11. The system of claim 10, wherein the machine readable code comprises at least one of a quick response (QR) code or a bar code.

12. The system of claim 7, wherein the note comprises at least one of text, audio media, visual media, audio-visual media, recorded data, a weblink, or a pointer to an information source.

13. A non-transitory computer-readable storage medium having stored therein instructions which, when executed by a computing device, cause the computing device to perform operations comprising:

creating a note at a first mobile device including a sensor;

receiving supplemental information associated with a physical object;

associating the supplemental information and data from the sensor with the note to yield a supplemented note;

sharing the supplemented note with a second mobile device; and

categorizing the supplemented note based on at least one of the supplemental information or the data from the sensor.

14. The non-transitory computer-readable storage medium of claim 13, wherein the supplemental information comprises at least one of an image of the physical object, information derived from the image of the physical object, wirelessly received information, a code associated with the physical object, information based on the code, or contextual traits related to the physical object.

15. The non-transitory computer-readable storage medium of claim 14, wherein the contextual traits comprise at least one of a location, a place, a time, a source, a related note, a person, people, a group, a tag, an identity, sensor data, a media file, an audio file, physical data relating to the first mobile device, or derived data.

16. The non-transitory computer-readable storage medium of claim 14, wherein the image of the physical object comprises a visual representation of a machine readable code.

17. The non-transitory computer-readable storage medium of claim 16, wherein the machine readable code comprises at least one of a quick response (QR) code or a bar code.

18. The non-transitory computer-readable storage medium of claim 13, wherein the note comprises at least one of text, audio media, visual media, audio-visual media, recorded data, a weblink, or a pointer to an information source.