Associative Memory Technology in Intelligence Analysis and Course of Action Development

• US 20130080448A1
• Filed: 09/23/2011
• Published: 03/28/2013
• Est. Priority Date: 09/23/2011
• Status: Abandoned Application

• Current Assignee: The Boeing Co.
• Original Assignee: The Boeing Co.
• Inventors: Arnold, William G., Warn, Brian
• Application Number:
  US13/243,656
• Publication Number:
  US 20130080448A1
• Time in Patent Office: Days
• US Class Current: 707/749
• CPC Class Codes: G06F 16/90339 by using parallel associative memories or content-addressable memories
• CPC Class Codes: G06F 16/95 Retrieval from the web

Abstract

A system for analyzing unstructured data. The system includes an associative memory including a plurality of data in associated units having a plurality of associations. The associative memory is configured to be queried based on at least one relationship selected from the group that includes direct relationships and indirect relationships among the plurality of data. The associative memory further includes a content-addressable structure. The system also includes an analyzer in communication with the associative memory, wherein the analyzer is configured to parse and arrange the plurality of data into comparable units in response to a query. The analyzer is configured to establish an ordered list ranking the comparable units in an order of precedence based on the query.

Claims

1. A system for analyzing unstructured data, comprising:

an associative memory including a plurality of data having a plurality of associations;

wherein the plurality of data is collected into associated units of data;

wherein the associative memory is configured to be queried based on at least one relationship selected from the group that includes direct relationships and indirect relationships among the plurality of data;

wherein the associative memory further includes a content-addressable structure;

an analyzer in communication with the associative memory, wherein the analyzer is configured to parse and arrange the plurality of data into comparable units in response to a query; and

wherein the analyzer is configured to establish an ordered list ranking the comparable units in an order of precedence based on the query.

2. The system of claim 1, wherein the plurality of data includes at least one of the unstructured data and free text data and wherein the analyzer is further configured to parse and arrange the plurality of data into the comparable units such that the comparable units are recognizable to a human user.

3. The system of claim 1 further comprising:

the analyzer being configured to establish the ordered list to rank a first comparable unit to have a highest number of associations responsive to the query.

4. The system of claim 1, wherein the plurality of data includes at least one of the unstructured data and free text after-action reports.

5. The system of claim 4, wherein the plurality of data further includes at least thousands of after-action reports (AARs) that each describe at least one of an operational situation and an operation effectiveness rating;

and

wherein the analyzer establishes the ordered list to rank the AARs such that a highest ranking AAR is most similar to the query.

6. The system of claim 1, wherein the analyzer is configured to receive the query from an insert perspective of the associative memory.

7. The system of claim 1 further comprising:

an output unit configured to generate a set of links linking the comparable units to underlying data that compose the comparable units.

8. The system of claim 7 further comprising:

a display unit in communication with the output unit, wherein the display unit is configured to display the ordered list, wherein the output unit is further configured to cause the display unit to display the ordered list as a dashboard.

9. The system of claim 8, wherein the dashboard comprises a plurality of perspectives from which to understand the plurality of data.

10. The system of claim 8, wherein the dashboard comprises a plurality of categories organized in a first column and a plurality of attributes organized in a second column, and wherein rows across the first column and the second column comprise sets of attributes, in the plurality of attributes, that correspond to particular category entries in the plurality of categories.

11. The system of claim 10, wherein the dashboard is configured to highlight a first attribute in a particular set of attributes, wherein the first attribute indicates groups of data of highest relevance to the query.

12. A device comprising:

a physical processor;

a bus connected to the physical processor;

an associative memory connected to the bus, wherein the associative memory is non-transitory, wherein the associative memory includes a plurality of data having a plurality of associations, wherein the plurality of data is collected into associated units of data, wherein the associative memory is configured to be queried based on at least one relationship selected from the group that includes direct relationships and indirect relationships among the plurality of data, and wherein the associative memory further includes a content-addressable structure;

wherein the physical processor is configured to parse and arrange the plurality of data into comparable units in response to a query; and

wherein the physical processor is configured to establish an ordered list ranking of the comparable units in an order of precedence based on the query.

13. The device of claim 12, wherein the plurality of data includes at least one of unstructured data and free text after-action reports.

14. The device of claim 13, wherein the plurality of data further includes at least thousands of after-action reports (AARs) that each describe at least one of an operational situation and an operation effectiveness rating;

and

wherein the physical processor is further configured to establish the ordered list to rank the AARs such that a highest ranking AAR is most similar to the query.

15. The device of claim 12 further comprising:

a display unit in communication with the physical processor, the display unit configured to display the ordered list, wherein the physical processor is further configured to cause the display unit to display the ordered list as a dashboard.

16. The device of claim 15, wherein the dashboard comprises a plurality of perspectives from which to understand the plurality of data.

17. The device of claim 15, wherein the dashboard comprises a plurality of categories organized in a first column and a plurality of attributes organized in a second column, and wherein rows across the first column and the second column comprise sets of attributes, in the plurality of attributes, that correspond to particular category entries in the plurality of categories, wherein the dashboard is configured to highlight a first attribute in a particular set of attributes, and wherein the first attribute indicates groups of data of highest relevance to the query.

18. A computer implemented method comprising:

receiving a query at a processor;

processing the query using the processor in conjunction with an associative memory, wherein the associative memory is non-transitory, wherein the associative memory includes a plurality of data having a plurality of associations, wherein the plurality of data is collected into associated units of data, wherein the associative memory is configured to be queried based on at least one relationship selected from the group that includes direct relationships and indirect relationships among the plurality of data, and wherein the associative memory further includes a content-addressable structure;

parsing and arranging the plurality of data using the processor into comparable units in response to the query; and

establishing, with the processor, an ordered list ranking of the comparable units in an order of precedence based on the query.

19. The computer implemented method of claim 18, wherein the plurality of data further includes at least thousands of after-action reports (AARs) that each describe at least one of an operational situation and an operation effectiveness rating, and wherein the computer implemented method further comprises:

establishing, with the processor, the ordered list to rank the AARs such that a highest ranking AAR is most similar to the query.

20. The computer implemented method of claim 18 further comprising:

displaying the ordered list as a dashboard on a display, wherein the dashboard comprises a plurality of perspectives from which to understand the plurality of data, wherein the dashboard comprises a plurality of categories organized in a first column and a plurality of attributes organized in a second column, and wherein rows across the first column and the second column comprise sets of attributes, in the plurality of attributes, that correspond to particular category entries in the plurality of categories, wherein the dashboard is configured to highlight a first attribute in a particular set of attributes, and wherein the first attribute indicates groups of data of highest relevance to the query.