Data enrichment apparatus and method of determining temporal access information

• US 8,719,209 B2
• Filed: 10/09/2008
• Issued: 05/06/2014
• Est. Priority Date: 10/09/2008
• Status: Active Grant

• Current Assignee: Tomtom Global Content B.V (TomTom NV)
• Original Assignee: TomTom International BV (TomTom NV)
• Inventors: Aben, Sjoerd, Thomassen, Erik, De Haas, Teun
• Primary Examiner(s): Gaffin, Jeffrey A
• Assistant Examiner(s): OLUDE AFOLABI, OLATOYOSI
• Application Number:
  US13/120,431
• Publication Number:
  US 20110238609A1
• Time in Patent Office: 2,035 Days
• Field of Search: 706/50, 706/52, 706/55
• US Class Current: 706/50
• CPC Class Codes: G01C 21/26 specially adapted for navigation in a road network

Abstract

A data enrichment processing apparatus (100) comprises a processing resource (154) arranged to access, when in use, location data (300) having temporal data associated therewith, and to group a part of the location data according to a predetermined criterion. The processing resource (154) is arranged to support an analysis module (268) capable of inferring temporal access information from the part of the location data grouped, the temporal access information being indicative of ability to access physically a point of interest associated with the part of the location data grouped.

Claims

1. A data enrichment apparatus enabling generation of richer point of interest content, comprising:

a processing resource arranged to access, when in use, location data having temporal data associated therewith, and to group a part of the location data according to a predetermined criterion;

wherein

the processing resource is arranged to support an analysis module capable of inferring temporal access information from the part of the location data grouped, the temporal access information being indicative of at least one of opening hours and hours of business of a point of interest associated with the part of the location data grouped, wherein the analysis module is arranged to analyze the temporal data associated with the part of the location data grouped and to identify boundary times from the temporal data associated with the part of the location data.

2. An apparatus as claimed in claim 1, further comprising location trip data comprising the location data and the temporal data associated therewith.

3. An apparatus as claimed in claim 1, wherein the temporal data comprises a time associated with a navigation apparatus being at a location.

4. An apparatus as claimed in claim 1, wherein the predetermined criterion is spatial clustering.

5. An apparatus as claimed in claim 4, wherein the spatial clustering is within a predetermined notional boundary.

6. An apparatus as claimed in claim 1, wherein the predetermined criterion is a predetermined proximity to the point of interest.

7. An apparatus as claimed in claim 1, wherein the analysis module is arranged to analyse the temporal data associated with the part of the location data grouped and build a temporal access profile associated with the part of the location data grouped.

8. An apparatus as claimed in claim 1, wherein the boundary times are used to determine the temporal access information associated with the point of interest.

9. An apparatus as claimed in claim 1, wherein the analysis module is arranged to match a closest predetermined temporal access profile to the temporal access information inferred.

10. An apparatus as claimed in claim 9, wherein the closest predetermined temporal access profile is a predetermined characterisation of physical accessibility to the point of interest with respect to time.

11. An apparatus as claimed in claim 9, wherein the analysis module is capable of recording the match by a variation with respect to the closest predetermined temporal access profile.

12. An apparatus as claimed in claim 1, wherein the point of interest is unidentified.

13. An apparatus as claimed in claim 12, wherein the analysis module is arranged to access a point of interest database comprising identities of points of interest and respective location data, and to identify the unidentified point of interest using the point of interest database.

14. An apparatus as claimed in claim 13, wherein the point of interest database is formed by contribution of point of interest information from users of navigation apparatus.

15. An apparatus as claimed in claim 14, wherein the radio-frequency signal relates to a navigation system or a wireless bidirectional communications system.

16. An apparatus as claimed in claim 14, wherein the analysis module is arranged to group the part of the locations data also according to another predetermined criterion, the another predetermined criterion being one of spatial clustering or a predetermined proximity to the point of interest.

17. An apparatus as claimed in claim 1, wherein the predetermined criterion is change in strength of a radio-frequency signal being received.

18. An apparatus as claimed in claim 17, wherein the change in strength is relative to a predetermined threshold value or loss of reception of the radio-frequency signal.

19. An apparatus as claimed in claim 1, wherein the analysis module is arranged to infer in respect of the part of the location information grouped a same temporal access information as another temporal access information associated with a neighbouring point of interest relative to the point of interest.

20. A location data processing system comprising:

the data enrichment apparatus as claimed in claim 1;

a database of the location data having the temporal data associated therewith; and

a plurality of navigation apparatus arranged to contribute to the database of the location data.

21. A method of determining temporal access information associated with a point of interest, enabling generation of richer point of interest content, the method comprising:

accessing location data having temporal data associated therewith;

grouping a part of the location data according to a predetermined criterion;

inferring temporal access information from the part of the location data grouped, the temporal access information being indicative of at least one of opening hours and hours of business of a point of interest associated with the part of the location data grouped;

analysing the temporal data associated with the part of the location data grouped; and

identifying boundary times from the temporal data associated with the part of the location data grouped.

22. A computer program element embodied on a non-transitory computer readable medium comprising computer program code means to make a computer execute a method of determining temporal access information associated with a point of interest, enabling generation of richer point of interest content, the method comprising:

accessing location data having temporal data associated therewith;

grouping a part of the location data according to a predetermined criterion;

inferring temporal access information from the part of the location data grouped, the temporal access information being indicative of at least one of opening hours and hours of business of a point of interest associated with the part of the location data grouped;

analysing the temporal data associated with the part of the location data grouped; and

identifying boundary times from the temporal data associated with the part of the location data grouped.