Presenting event intelligence and trends tailored per geographic area granularity

• US 10,324,935 B1
• Filed: 09/05/2018
• Issued: 06/18/2019
• 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:
  US16/121,762
• Time in Patent Office: 286 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:

detecting a potential event from one or more normalized signals;

querying a geo cell database with location search terms derived from the one or more normalized signals, the geo cell database mapping each of a plurality of geo cells to objects physically located in an area defined by the geo cell;

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;

for each geo cell in the list of geo cells, monitoring for additional signals related to the potential event within the geo cell;

receiving an additional signal related to the potential event within a geo cell listening distance of a geo cell in the list of geo cells;

validating the potential event as an event;

storing the event in the geo cell database;

receiving a request for data relevant to an area defined by another geo cell;

submitting an historical event query containing the other geo cell to the geo cell database;

receiving event data from the geo cell database indicating a location of the event within the defined area, an event time of the event, an event category of the event, and an event description of the event;

submitting a data query containing geographic data defining the defined area to a domain specific database separate from the geo cell database;

receiving domain specific data from the domain specific database;

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

real estate, economic development, insurance, actuarial, or financial.

3. The method of claim 1, further comprising:

at least partially summarizing another combination of the event data and the domain specific data with map data for an area adjacent to the defined area;

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 new geographic granularity;

changing the amount of summarization of the combination of the event data and the domain specific data based on the new geographic granularity; and

presenting the map view of the defined area at a display device with the changed amount of 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 receiving domain specific data from the domain specific database comprises receiving opioid use related data;

and

wherein at least partially summarizing a combination of the event data and the domain specific data with map data comprises at least partially summarizing a combination of the event data and the opioid use related data with map data.

8. The method of claim 1, wherein receiving domain specific data from the domain specific database comprises receiving amber alert related data;

and

wherein at least partially summarizing a combination of the event data and the domain specific data with map data comprises at least partially summarizing a combination of the event data and the amber alert related data with map data.

9. The method of claim 1, wherein receiving domain specific data from the domain specific database comprises accessing opioid use related data;

and

wherein presenting the map view of the defined area at a display device comprises unifying presentation of the event and the opioid use related data in the map view.

10. The method of claim 1, wherein receiving domain specific data from the domain specific database comprises accessing amber alert related data;

and

wherein presenting the map view of the defined area at a display device comprises unifying presentation of the event and the amber alert related data in the map view.

11. A computer system comprising:

a processor;

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

detect a potential event from one or more normalized signals;

query a geo cell database with location search terms derived from the one or more normalized signals, the geo cell database mapping each of a plurality of geo cells to objects physically located in an area defined by the geo cell;

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;

for each geo cell in the list of geo cells, monitor for additional signals related to the potential event within the geo cell;

receive an additional signal related to the potential event within a geo cell listening distance of a geo cell in the list of geo cells;

validate the potential event as an event;

store the event in the geo cell database;

receive a request for data relevant to an area defined by another geo cell;

submit an historical event query containing the other geo cell to the geo cell database;

receive event data from the geo cell database indicating a location of the event within the defined area, an event time of the event, an event category of the event, and an event description of the event;

submit a data query containing geographic data defining the defined area to a domain specific database separate from the geo cell database;

receive domain specific data from the domain specific database;

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

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

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

ingest one or more raw signals; and

format the one or more raw signals into the one or more normalized signals.

13. The computer system of claim 12, wherein instructions configured to format the one or more raw signals into the one or more normalized signals comprise instructions configured to format a raw signal into a normalized signal including a Time, a Location, and a Context.

14. The computer system of claim 11, wherein instructions configured to receive domain specific data from the domain specific database comprise instructions configured to access opioid use related data;

and

wherein instructions configured to present the map view of the defined area at a display device comprise instructions configured to unify presentation of the event and the opioid use related data in the map view at the display device.

15. The computer system of claim 11, wherein instructions configured to receive domain specific data from the domain specific database comprise instructions configured to access amber alert related data;

and

wherein instructions configured to present the map view of the defined area at a display device comprise instructions configured to unify presentation of the event and the data related to the amber alert in the map view at the display device.

16. 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.

17. The computer system of claim 11, 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.