Labeling a significant location based on contextual data

1. A method implemented by a computing device, the method comprising:

receiving, from a location subsystem on the computing device, position coordinates for the computing device;

determining, by the computing device, that a geographic location of the computing device is associated with a significant location in a set of significant locations stored on the computing device, wherein the significant location is a location having position coordinates inferred from clusters of position coordinates previously gathered by the computing device in response to a determination that the computing device dwelled at the location for a threshold amount of time; and

determining, by the computing device, a label for the significant location based on analysis of contextual data for the significant location, the contextual data comprising calendar data stored in a calendar application implemented by the computing device, wherein the calendar data includes the label of the significant location.

2. The method of claim 1 , wherein determining, by the computing device, the label for the significant location based on contextual data associated with the significant location comprises identifying the label of the significant location included in a calendar event.

3. The method of claim 2 , wherein identifying the label of the significant location included in the calendar event comprises:

determining that the calendar event mentions a location; and

determining that the mentioned location is the significant location.

4. The method of claim 2 , wherein identifying the label of the significant location included in the calendar event comprises determining that the computing device is located at the significant location between time boundaries specified in the calendar event.

5. The method of claim 2 , wherein the contextual data comprises a reminder stored in the calendar application implemented by the computing device, wherein the reminder includes the label of the significant location, and wherein determining, by the computing device, the label for the determined significant location based on contextual data associated with the significant location comprises identifying the label of the significant location mentioned in the reminder.

6. The method of claim 5 , wherein identifying the label of the significant location mentioned in the reminder comprises:

determining that the reminder mentions a location; and

determining that the mentioned location is the significant location.

7. The method of claim 1 , further comprising:

receiving, by the location subsystem on the computing device, from a second application executed by the computing device, a request for data associated with the significant location; and

in response to the request, providing the data associated with the significant location, wherein the data associated with the significant location includes the label for the significant location; and

displaying, by a map engine associated with the location subsystem, on behalf of the second application and on a graphical interface displayed on the computing device, the label for the location at a location on the graphical interface.

8. A data processing system on a computing device, the system comprising:

a memory device;

one or more processors to execute instructions stored on the memory device, wherein the instructions cause the one or more processors to:

receive, via a location subsystem of the data processing system, position coordinates for the computing device;

determine that a geographic location of the computing device is associated with a significant location in a set of significant locations stored on the computing device, wherein the significant location is a location having position coordinates inferred from clusters of position coordinates previously gathered by the computing device in response to a determination that the computing device dwelled at the location for a threshold amount of time; and

determine a label for the significant location based on analysis of contextual data for the significant location, the contextual data comprising calendar data stored in a calendar application implemented by the computing device, wherein the calendar data includes the label of the significant location and to determine the label for the significant location includes to identify the label of the significant location included in a calendar event.

9. The data processing system of claim 8 , wherein to identify the label of the significant location included in the calendar event includes to:

determine that the calendar event mentions a location; and

determine that the mentioned location is the significant location.

10. The data processing system of claim 8 , wherein to identify the label of the significant location included in the calendar event includes to determine that the computing device is located at the significant location between time boundaries specified in the calendar event.

11. The data processing system of claim 8 , wherein the contextual data includes a reminder stored in the calendar application implemented by the computing device, the reminder includes the label of the significant location, wherein to determine the label for the determined significant location based on contextual data associated with the significant location includes to identify the label of the significant location mentioned in the reminder.

12. The data processing system of claim 11 , wherein to identify the label of the significant location mentioned in the reminder, the one or more processors are to:

determine that the reminder mentions a location; and

determine that the mentioned location is the significant location.

13. The data processing system of claim 8 , wherein the one or more processors are further to:

receive, via location subsystem on the computing device, from a second application executed by the computing device, a request for data associated with the significant location; and

in response to the request, provide the data associated with the significant location, wherein the data associated with the significant location includes the label for the significant location; and

display, by a map engine associated with the location subsystem, on behalf of the second application and on a graphical interface displayed on the computing device, the label for the location at a location on the graphical interface.

14. A non-transitory machine-readable medium storing instructions which, when executed by one or more processors of a computing device, cause the one or more processors to perform operations comprising:

receiving, from a location subsystem on the computing device, position coordinates for the computing device;

determining, by the computing device, that a geographic location of the computing device is associated with a significant location in a set of significant locations stored on the computing device, wherein the significant location is a location having position coordinates inferred from clusters of position coordinates previously gathered by the computing device in response to a determination that the computing device dwelled at the location for a threshold amount of time; and

determining, by the computing device, a label for the significant location based on analysis of contextual data for the significant location, the contextual data comprising calendar data stored in a calendar application implemented by the computing device, wherein the calendar data includes the label of the significant location.

15. The non-transitory machine-readable medium of claim 14 , wherein determining, by the computing device, the label for the significant location based on contextual data associated with the significant location comprises identifying the label of the significant location included in a calendar event.

16. The non-transitory machine-readable medium of claim 15 , wherein identifying the label of the significant location included in the calendar event comprises:

determining that the calendar event mentions a location; and

determining that the mentioned location is the significant location.

17. The non-transitory machine-readable medium of claim 15 , wherein identifying the label of the significant location included in the calendar event comprises determining that the computing device is located at the significant location between time boundaries specified in the calendar event.

18. The non-transitory machine-readable medium of claim 15 , wherein the contextual data comprises a reminder stored in the calendar application implemented by the computing device, wherein the reminder includes the label of the significant location, wherein determining, by the computing device, the label for the determined significant location based on contextual data associated with the significant location comprises identifying the label of the significant location mentioned in the reminder.

19. The non-transitory machine-readable medium of claim 18 , wherein identifying the label of the significant location mentioned in the reminder comprises:

determining that the reminder mentions a location; and

determining that the mentioned location is the significant location.

20. The non-transitory machine-readable medium of claim 14 , the operations further comprising:

receiving, by the location subsystem on the computing device, from a second application executed by the computing device, a request for data associated with the significant location; and

in response to the request, providing the data associated with the significant location, wherein the data associated with the significant location includes the label for the significant location; and

displaying, by a map engine associated with the location subsystem, on behalf of the second application and on a graphical interface displayed on the computing device, the label for the location at a location on the graphical interface.