Coincidence identification tool
View Patent ↗User input is used to define different geographical locations and/or different time frames related to a plurality of events, At least one data source is queried to receive occurrence records corresponding to at least some of the plurality of events according to the different geographical locations and/or different time frames. The records having at least one field whose value matches are grouped to form at least one coincidence entity. A visual representation of the at least one coincidence entity is presented to the user.
1. A computer-implemented method of processing occurrence records for coincidence identification, the method comprising:
receiving user input used to define at least two queries related to a plurality of events, each one of said at least two queries defining a geographical location and a time frame, wherein the time frame is different for the at least two queries;
querying at least one data source using said at least two queries to receive at least two sets of occurrence records;
identifying at least one coincidence entry in said at least two sets of occurrence records;
grouping said occurrence records corresponding to said at least one coincidence entry to form at least one coincidence entity; and
causing display of a visual representation of said at least one coincidence entity to a user.
2. The method as defined in claim 1 , wherein said user input includes a coincidence match mode for at least one field in each of said at least two sets of occurrence records, and said grouping comprises matching values of said at least one field in accordance with said coincidence match mode.
3. The method as defined in claim 2 , wherein said user input defines said at least one field.
4. The method as defined in claim 3 , wherein said at least one field defined by said user input is used to identify said at least one data source.
5. The method as defined in claim 2 , wherein said at least one data source comprises two or more data sources.
6. The method as defined in claim 5 , wherein said querying comprises broadcasting queries to said two or more data sources and processing data returned from said two or more data sources.
7. The method as defined in claim 6 , wherein said grouping comprises matching values of said at least one field of at least a first occurrence record from a first data source of said two or more data sources with at least a second occurrence record from a second data source of said two or more data sources.
8. The method as defined in claim 1 , wherein said user input includes defining at least two geographical locations and at least two different time frames related to said plurality of events.
9. The method as defined in claim 1 , wherein said querying comprises broadcasting said at least two queries to said at least one data source and processing data returned from said at least one data source.
10. The method as defined in claim 1 , further comprising repeating said receiving, said querying, said identifying, said grouping and said displaying with refined user input for at least one of said at least two queries.
11. The method as defined in claim 1 , further comprising receiving user input to hide said visual representation of at least one of said at least one coincidence entity.
12. The method as defined in claim 1 , wherein said displaying to a user a visual representation of said at least one coincidence entity comprises presenting a map.
13. The method as defined in claim 12 , wherein said displaying comprises placing a symbol on said map corresponding to said at least one data source at a location associated with said occurrence records of said at least one coincidence entity.
14. The method as defined in claim 13 , wherein said symbol includes a balloon containing details from said occurrence records of said at least one coincidence entity.
15. The method as defined in claim 12 , wherein said displaying comprises placing a boundary marker of said geographical location of said each of the at least two queries related to said plurality of events on said map.
16. The method as defined in claim 15 , wherein said displaying comprises placing, on said map, one or more markers corresponding to sensor locations defined by said at least one data source of said boundary marker of said geographical location of said each of the at least two queries related to said plurality of events, said markers helping the user choose said different geographical locations related to said plurality of events.
17. A computer-readable non-transitory memory storing instructions executable by a computer device to perform:
receiving user input used to define at least two queries related to a plurality of events, each one of said at least two queries defining a geographical location and a time frame, wherein the time frame is different for the at least two queries;
querying at least one data source using said at least two queries to receive at least two sets of occurrence records;
identifying at least one coincidence entry in said at least two sets of occurrence records;
grouping said occurrence records corresponding to said at least one coincidence entry to form at least one coincidence entity; and
causing display of a visual representation of said at least one coincidence entity to a user.
18. The memory as defined in claim 17 , wherein said receiving the user input includes defining at least two geographical locations and at least two different time frames related to said plurality of events.
19. The memory as defined in claim 17 , wherein said displaying to the user the visual representation of said at least one coincidence entity comprises presenting a map and placing a symbol on said map corresponding to said at least one data source at a location associated with said occurrence records of said at least one coincidence entity.
20. The memory as defined in claim 19 , wherein said displaying comprises placing a boundary marker of said geographical location of said each of the at least two queries related to said plurality of events on said map.