Method and apparatus for analyzing and interrelating data

• US 8,458,105 B2
• Filed: 08/27/2009
• Issued: 06/04/2013
• Est. Priority Date: 02/12/2009
• Status: Active Grant

• Current Assignee: Decisive Analytics Corporation
• Original Assignee: Decisive Analytics Corporation
• Inventors: Nolan, James J., Frymire, Mark E., David, Andrew F.
• Primary Examiner(s): Gaffin, Jeffrey A
• Assistant Examiner(s): OLUDE AFOLABI, OLATOYOSI
• Application Number:
  US12/548,888
• Publication Number:
  US 20100205128A1
• Time in Patent Office: 1,377 Days
• Field of Search: 706/46, 706/19, 706/16, 706/13, 717/110
• 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 the temporary storage medium using a computer-based query language;

creating and identifying themes automatically within the data using a computer program including a statistical probability based algorithm;

organizing the data into the identified themes based on the content of the data; and

,

identifying and predicting the probability of at least one future event.

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 further comprising the step of:

correcting typographical errors in the data.

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

using a computer-program-based algorithm to identify themes that are at least one of emerging, increasing, or declining.

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

tracking themes over a time period.

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

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

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

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

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

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

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

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

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

12. 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.

13. 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;

creating and identifying themes automatically within the data stored in the storage medium using a computer program including a statistical probability based 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;

using a computer-program-based algorithm to identify 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; and

,

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

14. 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; and

,

a computer program including a statistical probability based algorithm for;

(1) creating and identifying themes automatically 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 at least one future event.

15. The computer-based system of claim 14 wherein the data is unstructured text, video, and audio.

16. The computer-based system of claim 14 wherein the data is in several different languages.

17. The computer-based system of claim 14 wherein the system further comprises a computer database for storing analysis reports.