Smart scoring and filtering of user-annotated geocoded datasets
A geographic information system and method that facilitate the display of user-annotated datasets. The dataset can include data such as user-generated videos, photos, blogs, etc., and is processed to search for geo-annotations. The geo-annotations and other data signals are utilized by a scorer to determine a level-of-detail for the particular data. The level-of-detail provided by the scorer is utilized by the geographic information system to determine which data to display as a user navigates around a map.
1. A method of modifying a map, comprising:
searching, using a processor, a data element for user generated text that includes one or more apparent textual geo-annotations associated with the data element and input by a user indicating a location of interest;
searching, by the processor, the data element for geocode information specifying a geographic location of the data element;
determining, by the processor, a location proximity of (i) a geographic location for each of the one or more apparent geo-annotations to (ii) the geographic location of the geocode information of the data element;
calculating, using the processor, a level-of-detail score for the data element based on the apparent geo-annotations in the user generated text and the location proximity of (i) the geographic location for each of the one or more apparent geo-annotations to (ii) the geographic location of the geocode information of the data element, wherein the level-of-detail score is a score corresponding to a geographic level of detail associated with the data element;
determining that the score exceeds a threshold level-of-detail score,
and in response, modifying the map to include a reference to the data element, wherein the reference is placed on a the map at a location corresponding to the data element; and
storing the modified map including the reference to the data element in a memory device for subsequent presentation.
2. The method of claim 1 , wherein the data element includes at least one of a video file, a photograph, and text.
3. The method of claim 1 , wherein the method further comprises:
searching the data element for geocode information, wherein the calculating of the level-of-detail score is further based on the geocode information.
4. The method of claim 1 , wherein the method further comprises:
searching, using the processor, for metadata in the data element, wherein the calculating of the level-of-detail score is further based on the metadata.
5. The method of claim 4 , wherein the metadata includes information regarding at least one of:
a number of times that at least a portion of the data element has been viewed;
a user rating of at least a portion of the data element; and
a page rank of at least a portion of the data element.
6. The method of claim 1 , wherein the method further comprises:
filtering the apparent geo-annotations and eliminating non-geographical annotations.
7. The method of claim 6 , further comprising:
after the eliminating, making any remaining geo-annotations available for the level-of-detail score calculating.
8. The method of claim 1 , wherein calculating the level-of-detail score is a function of at least one of:
mentions of a place name;
a number of page views;
a user-provided rating;
a black list of locations;
a white list of locations;
a number of user comments;
a number of characters in a title or description; and
a date when content of the data element was uploaded.
9. A system for modifying a map, comprising:
a processor; and
a memory in communication with the processor and configured to store one or more programs to be executed by the processor, the one or more programs comprising instructions for:
searching a data element for user generated text that includes one or more apparent textual geo-annotations associated with the data element and input by a user indicating a location of interest;
searching the data element for geocode information specifying a geographic location of the data element;
determining a location proximity of (i) a geographic location for each of the one or more apparent geo-annotations to (ii) the geographic location of the geocode information of the data element;
calculating a level-of-detail score for the data element based on the apparent geo-annotations in the user generated text and the location proximity of (i) the geographic location for each of the one or more apparent geo-annotations to (ii) the geographic location of the geocode information of the data element, wherein the level-of-detail score is a score corresponding to a geographic level of detail associated with the data element;
determining that the score exceeds a threshold level-of-detail score, and in response initiate modification of the map to include a reference to the data element, wherein the reference is placed on the map at a location corresponding to the data element; and
storing the modified map including the reference to the data element.
10. The system of claim 9 , wherein the data element includes at least one of a video file, a photograph, and text.
11. The system of claim 9 , wherein the instructions further comprise:
searching the data element for geocode information, wherein the calculating of the level-of-detail score is further based on the geocode information.
12. The system of claim 9 , wherein the instructions further comprise:
searching for metadata in the data element,
wherein calculating of the level-of-detail score is further based on the metadata.
13. The system of claim 12 , wherein the metadata includes information regarding at least one of:
a number of times that at least a portion of the data element has been viewed;
a user rating of at least a portion of the data element; and
a page rank of at least a portion of the data element.
14. The system of claim 9 , wherein the instructions further comprise:
filtering the apparent geo-annotations and eliminating non-geographical annotations.
15. The system of claim 14 , wherein after eliminating,
making any remaining geo-annotations available for the calculating the level-of-detail score.
16. The system of claim 9 , wherein calculating the level-of-detail score is based as a function of at least one of:
mentions of a place name;
a number of pages views;
a user-provided rating;
a black list of locations;
a white list of locations;
a number of user comments;
a number of characters in a title or description; and
a date when content of the data element was uploaded.
17. A non-transitory computer readable storage medium storing one or more programs configured for execution by a computer, the one or more programs comprising instructions for:
searching a data element for user generated text that includes one or more apparent textual geo-annotations associated with the data element and input by a user indicating a location of interest;
searching the data element for geocode information specifying a geographic location of the data element;
determining a location proximity of (i) a geographic location for each of the one or more apparent geo-annotations to (ii) the geographic location of the geocode information of the data element;
calculating a level-of-detail score for the data element based on the apparent geo-annotations in the user generated text and the location proximity of (i) the geographic location for each of the one or more apparent geo-annotations to (ii) the geographic location of the geocode information of the data element, wherein the level-of-detail score is a score corresponding to a geographic level of detail associated with the data element;
determining that the score exceeds a threshold level-of-detail score, and in response initiating modification of the map to include a reference to the data element, wherein the reference is placed on the map at a location corresponding to the data element; and
storing the modified map including the reference to the data element in a memory device for subsequent presentation.
18. The non-transitory computer readable storage medium of claim 17 , wherein the data element includes at least one of a video file, a photograph, and text.
19. The non-transitory computer readable storage medium of claim 17 , further comprising:
searching the data element for geocode information,
wherein the calculating of the level-of-detail score is further based on the geocode information.
20. The non-transitory computer readable storage medium of claim 17 , further comprising:
searching for metadata in the data element,
wherein the calculating of the level-of-detail score is further based on said metadata.
21. The non-transitory computer readable storage medium of claim 20 , wherein the metadata includes information regarding at least one of:
a number of times that at least a portion of the data element has been viewed;
a user rating of at least a portion of the data element; and
a page rank of at least a portion of the data element.
22. The non-transitory computer readable storage medium of claim 17 , further comprising:
filtering the apparent geo-annotations and eliminate non-geographical annotations.
23. The non-transitory computer readable storage medium of claim 22 , wherein after eliminating
making any remaining geo-annotations available for the level-of-detail score calculation.
24. The non-transitory computer readable storage medium of claim 17 , calculating the level-of-detail score is based as a function of at least one of:
mentions of a place name;
a number of page views;
a user-provided rating;
a black list of locations;
a white list of locations;
a number of user comments;
a number of characters in a title or description; and
a date when content of the data element was uploaded.