METHOD AND APPARATUS FOR ANALYZING AND INTERRELATING DATA

• US 20100205128A1
• Filed: 08/27/2009
• Published: 08/12/2010
• Est. Priority Date: 02/12/2009
• Status: Active Grant

• Current Assignee: Decisive Analytics Corporation
• Original Assignee: Decisive Analytics Corporation
• Inventors: David, Andrew F., Nolan, James J., Frymire, Mark E.
• Granted Patent: US 8,458,105 B2
• Time in Patent Office: Days
• US Class Current: 706/13
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06F 16/358 Browsing; Visualisation therefor
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

A method for automatically organizing data into themes, the method including the steps of retrieving electronic data from at least one data source, storing the data in a temporary storage medium, querying the data in the storage medium using a computer-based query language, identifying themes within the data stored in the storage medium using a computer program including an algorithm, and organizing the data stored in the storage medium into the identified themes.

Claims

1. A method for automatically organizing data into themes, the method comprising the steps of:

retrieving electronic data from at least one data source;

storing the data in a temporary storage medium;

querying the data from a temporary storage medium using a computer-based query language;

identifying themes within the data using a computer program including an algorithm; and

,

organizing the data into the identified themes based on the content of the data.

2. The method of claim 1 wherein the data is unstructured text, video, and audio.

3. The method of claim 1 wherein the data is in several different languages.

4. The method of claim 1 wherein the algorithm is a statistical probability based algorithm.

5. The method of claim 1 further comprising the step of:

correcting typographical errors in the data.

6. The method of claim 1 further comprising the step of:

identifying themes that are at least one of emerging, increasing, or declining.

7. The method of claim 1 further comprising the step of:

tracking themes over a time period.

8. The method of claim 1 further comprising the step of:

characterizing the themes based on the level of threat the themes represent.

9. The method of claim 1 further comprising the step of:

identifying a plurality of entities that are collaborating on the same theme.

10. The method of claim 9 further comprising the step of:

determining the roles and relationships between the plurality of entities, including the affinity between the plurality of entities.

11. The method of claim 1 further comprising the step of:

identifying and predicting the probability of a future event.

12. The method of claim 1 further comprising the step of:

analyzing the queried data and posting the analysis on a computer database.

13. The method of claim 1 wherein the same data is organized into a plurality of themes.

14. The method of claim 1 further comprising the step of:

determining the amount a discrete set of data that is organized into a report contributed to a specific theme.

15. A method for automatically organizing data into themes, the method comprising the steps of:

retrieving electronic data from at least one data source;

correcting typographical errors in the data;

storing the data in a temporary storage medium;

querying the data in the storage medium using a computer-based query language;

identifying themes within the data stored in the storage medium using a computer program including an algorithm;

characterizing the themes based on the level of threat each theme represents;

organizing the data stored in the storage medium into the identified themes based on the content of the data;

determining the amount a discrete set of data contributed to a specific theme;

identifying themes that are at least one of emerging, increasing, or declining;

tracking themes over a time period;

identifying a plurality of entities that are collaborating on the same theme;

determining the roles and relationships between the plurality of entities, including the affinity between the plurality of entities;

identifying and predicting the probability of a future event;

analyzing the queried data and posting the analysis on a computer database.

16. A computer-based system comprising:

electronic data input from a plurality of data sources;

a temporary storage medium for storing the electronic data;

a computer-based query language tool for querying the data in the storage medium;

a computer program including an algorithm for;

(1) identifying themes within the data stored in the storage medium, (2) identifying a plurality of entities that are collaborating on the same theme, (3) determining the roles and relationships between the plurality of entities, and (4) identifying and predicting the probability of a future event.

17. The computer-based system of claim 16 wherein the data is unstructured text, video, and audio.

18. The computer-based system of claim 16 wherein the data is in several different languages.

19. The computer-based system of claim 16 wherein the algorithm is a statistical probability based algorithm.

20. The computer-based system of claim 16 wherein the system further comprises a computer database for storing analysis reports.