Mind map with data feed linkage and social network interaction

• US 8,380,716 B2
• Filed: 05/13/2010
• Issued: 02/19/2013
• Est. Priority Date: 05/13/2010
• Status: Active Grant

• Current Assignee: Jan Mirus
• Original Assignee: Jan Mirus
• Inventors: Mirus, Jan
• Primary Examiner(s): MORRISON, JAY A
• Application Number:
  US12/779,140
• Publication Number:
  US 20110282873A1
• Time in Patent Office: 1,013 Days
• Field of Search: None
• US Class Current: 707/737
• CPC Class Codes: G06F 16/27 Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
• CPC Class Codes: G06F 16/284 Relational databases
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/954 Navigation, e.g. using categorised browsing
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

Embodiments of the disclosed technology comprise a method of augmenting a mind map of a plurality of objects based on at least one data feed. The method comprises providing an interface which contains visual representations of objects and associates semantic data with these objects. The interface allows for a user to access data from a data feed, and it analyzes these data in order to identify additional objects which may be semantically related to the object. A visual representation of the additional object is then augmented with a connector to the original object. Information about the relationships of the objects may be certified automatically or manually.

Claims

1. A method of augmenting a mind map based on at least one data feed accessed via a network node, where the method comprises:

a) generating and exhibiting a visual representation of an object;

b) associating semantic data with said object, wherein said semantic data describes a characteristic or feature of said object;

c) receiving from a user identification of at least one said data feed to be accessed via set network node;

d) providing a control that is operable to access data from said at least one data feed including said data feed identified by said user via said network node;

e) analyzing output of said at least one data feed and identifying additional objects which are semantically related to said object;

f) augmenting said visual representation of said object with a connector from said object to a visual representation of said additional object; and

g) arranging said visual representation of said objects in a hierarchical fashion based on interdependency of a said object with at least one said additional object, wherein said visualization of said mind map centralizes a said object possessing a greater number of said connectors to said additional objects than other said objects.

2. The method of claim 1, further comprising a step of disambiguating said semantic data corresponding to said object by determining third party data to be related to said object.

3. The method of claim 2, wherein said step of disambiguating data comprises using an object found in another mind map as a data source for disambiguating said semantic data.

4. The method of claim 2, wherein said semantic information is disambiguated automatically using a data source.

5. The method of claim 1, wherein said connector comprises information pertaining to a type of an association of which it is representative.

6. The method of claim 5, wherein said type of association between said object and said additional object is automatically assigned using said semantic data, wherein said semantic data describes a characteristic or feature of said object.

7. The method of claim 5, wherein said type of association between said object and said additional object is manually assigned by a user.

8. The method of claim 1, further comprising a step of adding semantic information corresponding to said object by classifying said object as a member of a class, wherein said class has associated semantic information.

9. The method of claim 8, wherein said class comprises data representative of time.

10. The method of claim 8, wherein said class comprises data associated with individual social networking profiles of people, and data from said social networking platform is imported.

11. The method of claim 8, wherein said class comprises data representative of geographic locations.

12. The method of claim 4, wherein said data source is selected from the group consisting of:

a) a hypertext markup language (HTML) document;

b) a global navigation satellite system receiver; and

c) a local non-volatile data storage medium.

13. The method of claim 1, wherein said data feed identified by said user comprises data associated with at least one person imported from a third party social networking platform, wherein said at least one person is selected from a group consisting of said user, contacts of said user, and all users of said social networking platform.

14. The method of claim 13, further comprising:

updating said social networking platform data feed identified by said user by importing new data as it becomes available from said third party social networking platform; and

automatically mapping said new data to said mind map by creating a new object with a corresponding new visual representation thereof.

15. The method of claim 14, further comprising:

associating semantic data with said new object; and

augmenting said new visual representation of said new object with a new connector from said new object to a pre-existing visual representation of a pre-existing object.

16. The method of claim 14, further comprising, by way of interacting with said visual representation of a said object, a response to data received from said social networking platform data feed selected by said user and instructing said social networking platform to augment said data feed selected by said user with data provided during said interacting.