METHOD, APPARATUS, AND COMPUTER-READABLE MEDIUM FOR DETERMINING A LOCATION ASSOCIATED WITH UNSTRUCTURED DATA

• US 20160283518A1
• Filed: 03/28/2016
• Published: 09/29/2016
• Est. Priority Date: 03/27/2015
• Status: Abandoned Application

• Current Assignee: Geographic Services, Inc.
• Original Assignee: Geographic Services, Inc.
• Inventors: TARANENKO, ALEX, RAFEI, KEYVAN
• Application Number:
  US15/082,709
• Publication Number:
  US 20160283518A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/29 Geographical information databases

Abstract

A method, apparatus, and computer-readable medium for determining a location associated with unstructured data, including receiving unstructured data from a source of information, identifying an association between information in the unstructured data and a data object in a geospatial database, wherein the geospatial database comprises one or more classes and the data object is an object in at least one of the one or more classes, and associating a location with the unstructured data based at least in part on the data object.

Claims

1. A method executed by one or computing devices for determining a location associated with unstructured data, the method comprising:

receiving, by at least one of the one or more computing devices, unstructured data from a source of information;

identifying, by at least one of the one or more computing devices, an association between information in the unstructured data and a data object in a geospatial database, wherein the geospatial database comprises one or more classes and the data object is an object in at least one of the one or more classes; and

associating, by at least one of the one or more computing devices, a location with the unstructured data based at least in part on the data object.

2. The method of claim 1, wherein the unstructured data comprises one or more of a website, a social media post, a tweet, an electronic message, a video, and an image.

3. The method of claim 1, wherein the data object comprises a social group data object corresponding to a geographic area of a map.

4. The method of claim 3, wherein the geographic area is defined by a plurality of polygons.

5. The method of claim 4, wherein identifying an association between information in the unstructured data and the data object in a geospatial database comprises:

identifying one or more geo-coordinates corresponding to the unstructured data; and

determining whether the geo-coordinates fall within one of the plurality of polygons.

6. The method of claim 5, wherein identifying one or more geo-coordinates corresponding to the unstructured data comprises:

identifying one or more geo-tags associated with the unstructured data.

7. The method of claim 4, wherein the plurality of polygons are divided into a plurality of probability zones and wherein each probability zone indicates the probability that polygons within that zone are associated with the geographic area of the map.

8. The method of claim 7, wherein identifying an association between information in the unstructured data and the data object in a geospatial database comprises:

identifying one or more geo-coordinates corresponding to the unstructured data;

determining whether the geo-coordinates fall within one of the plurality of polygons;

identifying a target polygon in the plurality of polygons which contains the geo-coordinates based at least in part on a determination that the geo-coordinates fall within one of the plurality of polygons;

identifying a target probability zone in the plurality of probability zones corresponding to the target polygon; and

identifying an association between information in the unstructured data and the social group data object in a geospatial database based at least in part on a probability associated with the target probability zone.

9. The method of claim 3, wherein associating a location with the unstructured data based at least in part on the data object comprises:

associating the geographic area corresponding to the social group data object with the unstructured data.

10. The method of claim 1, wherein identifying an association between information in the unstructured data and the data object in a geospatial database comprises:

identifying an association between information in the unstructured data and a person data object in the geospatial database, wherein the person data object is associated with a social group data object in the geospatial database, the social group data object corresponding to a geographic area of a map.

11. The method of claim 10, wherein associating a location with the unstructured data based at least in part on the data object comprises:

associating the geographic area corresponding to the social group data object with the unstructured data.

12. The method of claim 1, further comprising:

identifying, by at least one of the one or more computing devices, one or more second data objects in the geospatial database that are related to the data object; and

associating, by at least one of the one or more computing devices, one or more second locations with the unstructured data based at least in part on the one or more second data objects.

13. The method of claim 12, wherein the one or more second data objects belong to a different class than the data object, and the determination that the one or more second data objects are related to the data object is made based on an analysis of a relationship class which defines hierarchical relationships between the one or more classes.

14. The method of claim 12, wherein the one or more classes include a social group class representing a social group which is defined as a first area on a map.

15. The method of claim 14, wherein the information in the unstructured data relates to an event, the data object is a data object in the social group class, and wherein identifying an association comprises:

determining, by at least one of the one or more computing devices, whether the event occurred in a geographic area that is within the first area.

16. The method of claim 12, wherein the one or more classes include a first social group class representing a first social group which is defined as a first area on a map and a second social group class representing a second social group which is defined as a second area on the map.

17. A system for determining a location associated with unstructured data, the system comprising:

one or more processors; and

one or more memories operatively coupled to at least one of the one or more processors and having instructions stored thereon that, when executed by at least one of the one or more processors, cause at least one of the one or more processors to;

receive unstructured data from a source of information;

identify an association between information in the unstructured data and a data object in a geospatial database, wherein the geospatial database comprises one or more classes and the data object is an object in at least one of the one or more classes; and

associate a location with the unstructured data based at least in part on the data object.

18. The system of claim 17, wherein the data object comprises a social group data object corresponding to a geographic area of a map, wherein the geographic area is defined by a plurality of polygons, and wherein the instructions that, when executed by at least one of the one or more processors, cause at least one of the one or more processors to identify an association between information in the unstructured data and the data object in a geospatial database further cause at least one of the one or more processors to:

identify one or more geo-coordinates corresponding to the unstructured data; and

determine whether the geo-coordinates fall within one of the plurality of polygons.

19. At least one non-transitory computer-readable medium storing computer-readable instructions that, when executed by one or more computing devices, cause at least one of the one or more computing devices to:

receive unstructured data from a source of information;

identify an association between information in the unstructured data and a data object in a geospatial database, wherein the geospatial database comprises one or more classes and the data object is an object in at least one of the one or more classes; and

associate a location with the unstructured data based at least in part on the data object.

20. The at least one non-transitory computer-readable medium of claim 19, wherein the data object comprises a social group data object corresponding to a geographic area of a map, wherein the geographic area is defined by a plurality of polygons, and wherein the instructions that, when executed by at least one of the one or more computing devices, cause at least one of the one or more computing devices to identify an association between information in the unstructured data and the data object in a geospatial database further cause at least one of the one or more computing devices to:

identify one or more geo-coordinates corresponding to the unstructured data; and

determine whether the geo-coordinates fall within one of the plurality of polygons.