Presenting event intelligence and trends tailored per geographic area granularity

• US 10,565,211 B2
• Filed: 04/23/2019
• Issued: 02/18/2020
• Est. Priority Date: 02/09/2018
• Status: Expired due to Fees

• Current Assignee: Banjo, Inc.
• Original Assignee: Banjo, Inc.
• Inventors: Patton, Damien
• Primary Examiner(s): Cheema, Azam M
• Application Number:
  US16/392,335
• Publication Number:
  US 20190251089A1
• Time in Patent Office: 301 Days
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 3/042 Knowledge-based neural networks; Logical representations of neural networks
• CPC Class Codes: G06N 5/045 Explanation of inference; Explainable artificial intelligence [XAI]; Interpretable artificial intelligence
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration
• CPC Class Codes: G06Q 50/10 Services

Abstract

The present invention extends to methods, systems, and computer program products for presenting event intelligence and trends tailored per geographic area granularity. Event related data can be combined with information from other domains to enable intelligent decision making within those domains. Responsive to user commands, graphical presentation can be tailored to a geographic granularity and can vary between geographic granularities. Event related information and other information for a defined area as well as adjacent areas can be at least partially summarized based on geographic granularity. At least partially summarizing data for currently presented areas as well as adjacent areas reduces resource consumption when moving between presented areas, for example, in a map. The level of summarization can be a tailored to a selected geographic granularity. As such, overall presented graphical data (e.g., total number of icons) can be relatively stable, and possibly tuned to available computing resources.

Claims

1. A method comprising:

reducing the dimensionality of a raw signal normalizing the raw signal into a Time, Location, Context (TLC) normalized signal;

detecting a potential event from the TLC normalized signal;

accessing a list of geo cells from a geocell database;

monitoring a geo cell, from among the list of geo cells, for additional signals related to the potential event and within a geo cell listening distance of the geo cell;

detecting an additional TLC normalized signal related to the potential event within the geo cell listening distance of the geo cell;

validating the potential event as a validated actual event in view of the additional TLC normalized signal;

accessing event data from the geo cell database indicating;

a location of the validated actual event within a defined area defined by another geo cell, an event time of the validated actual event, an event category of the validated actual event, and an event description of the validated actual event;

accessing domain specific data corresponding to the defined area from a domain specific database;

at least partially summarizing a combination of the event data and the domain specific data with map data into a map view of the defined area based on the geographic granularity of the defined area; and

presenting the map view of the defined area at a display device unifying presentation of the event data and the domain specific data in a map at the display device.

2. The method of claim 1, wherein accessing domain specific data comprises accessing domain specific data associated with one of:

a real estate domain, an economic development domain, an insurance domain, an actuarial domain, a financial domain, a telecommunications domain, a child protection domain, a pharmaceuticals domain, a narcotics use domain, or a prescription drug data domain.

3. The method of claim 1, further comprising:

accessing other map data corresponding to an adjacent area adjacent to the defined area;

at least partially summarizing another combination of the event data and the domain specific data with the other map data;

receiving a user command shifting focus of the map view to the adjacent area; and

presenting the map view of the adjacent area at the display device.

4. The method of claim 1, further comprising:

receiving a user command changing the geographic granularity to a different geographic granularity;

tailoring the at least partial summarization of the event data and the domain specific data combination to the different geographic granularity subsequent to receiving the user command; and

presenting the map view of the defined area at a display device with the tailored at least partial summarization.

5. The method of claim 1, further comprising computing an event trend for the defined area;

and

wherein presenting the map view of the defined area at a display device comprises presenting the event trend at the display device.

6. The method of claim 5, wherein computing an event trend for the defined area comprises computing one of:

a past trend, a present trend, or future trend.

7. The method of claim 1, wherein accessing the list of geo cells from the geo cell database comprises querying the geo cell database with location search terms derived from the TLC normalized signal, the geo cell database mapping each of a plurality of geo cells to objects physically located in an area defined by the geo cell;

and

receiving a list of geo cells from the geo cell database, each geo cell in the list of geo cells matching the location search terms within a specified margin of error.

8. The method of claim 7, wherein validating the potential event as validated actual event further comprises validating the potential event as an actual event based on other information contained in the additional TLC normalized signal and in view the information contained in the TLC normalized signal.

9. The method of claim 7, wherein validating the potential event as a validated actual event is based on another probability value associated with the additional TLC normalized signal and that reflects another mathematical probability of an event in the event category actually occurring.

10. The method of claim 7, further comprising ingesting a raw signal.

11. A computer system comprising:

a processor;

system memory coupled to the processor and storing instructions configured to cause the processor to;

reduce the dimensionality of a raw signal normalizing the raw signal into a Time, Location, Context (TLC) normalized signal;

detect a potential event from the TLC normalized signal;

access a list of geo cells from a geocell database;

monitor a geo cell, from among the list of geo cells, for additional signals related to the potential event and within a geo cell listening distance of the geo cell;

detect an additional TLC normalized signal related to the potential event within the geo cell listening distance of the geo cell;

validate the potential event as a validated actual event in view of the additional TLC normalized signal;

access event data from the geo cell database indicating;

a location of the validated actual event within a defined area defined by another geo cell, an event time of the validated actual event, an event category of the validated actual event, and an event description of the validated actual event;

access domain specific data corresponding to the defined area from a domain specific database;

at least partially summarize a combination of the event data and the domain specific data with map data into a map view of the defined area based on the geographic granularity of the defined area; and

present the map view of the defined area at a display device unifying presentation of the event data, the domain specific data, and the map data in a map at the display device.

12. The computer system of claim 11, wherein instructions configured to access domain specific data comprise instructions configured to access domain specific data associated with one of:

a real estate domain, an economic development domain, an insurance domain, an actuarial domain, a financial domain, a telecommunications domain, a child protection domain, a pharmaceuticals domain, a narcotics use domain, or a prescription drug data domain.

13. The computer system of claim 11, further comprising instructions configured to:

access other map data corresponding to an adjacent area adjacent to the defined area;

at least partially summarize another combination of the event data and the domain specific data with the other map data;

receive a user command shifting focus of the map view to the adjacent area; and

present the map view of the adjacent area at the display device.

14. The computer system of claim 11, further comprising instructions configured to:

receive a user command changing the geographic granularity to a different geographic granularity;

tailor the at least partial summarization of the event data and the domain specific data combination to the different geographic granularity subsequent to receiving the user command; and

present the map view of the defined area at a display device with the tailored at least partial summarization.

15. The computer system of claim 11, further comprising instructions configured to compute an event trend for the defined area;

and

wherein instructions configured to present the map view of the defined area at a display device comprise instructions configured to present the event trend at the display device.

16. The computer system of claim 15, wherein instructions configured to compute an event trend for the defined area comprise instructions configured to compute one of:

a past trend, a present trend, or future trend.

17. The computer system of claim 11, wherein the instructions configured to cause the process to access the list of geo cells from the geo cell database comprises further comprises further instructions to query the geo cell database with location search terms derived from the normalized signal, the geo cell database mapping each of a plurality of geo cells to objects physically located in an area defined by the geo cell;

and

receive a list of geo cells from the geo cell database, each geo cell in the list of geo cells matching the location search terms within a specified margin of error.

18. The computer system of claim 17, wherein the instructions configured to validate the potential event as validated actual event further comprises instructions to validate the potential event as an actual event based on other information contained in the additional TLC normalized signal and in view the information contained in the TLC normalized signal.

19. The computer system of claim 17, wherein the instructions configured to detect the potential event further comprise instructions configured to validate the potential event as a validated actual event based on another probability value associated with the additional TLC normalized signal and that reflects another mathematical probability of an event in the event category actually occurring.

20. The computer system of claim 17, further comprising instructions configured to ingest a raw signal.