Attribution analysis and correlation

• US 8,386,475 B2
• Filed: 12/30/2008
• Issued: 02/26/2013
• Est. Priority Date: 12/30/2008
• Status: Expired due to Fees

• Current Assignee: Micro Focus Software, Inc. (Open Text Corporation)
• Original Assignee: Novell Incorporated (Open Text Corporation)
• Inventors: Isaacson, Scott Alan, Carter, Stephen R., Green, Tammy
• Primary Examiner(s): VU, BAI DUC
• Application Number:
  US12/346,665
• Publication Number:
  US 20100169315A1
• Time in Patent Office: 1,519 Days
• Field of Search: None
• US Class Current: 707/722
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06Q 10/00 Administration; Management

Abstract

An attribution analysis and correlation system can include a content manager and a semantic correlation module. The content manager can receive a list identifying at least one contributor to be evaluated. The content manager can also mine at least one community for content pertaining to the contributor(s). The semantic correlation module can generate correlation results by performing a semantic analysis and correlation on the persistent content and attributions corresponding to the contributor(s).

Claims

1. An attribution analysis and correlation system, comprising:

a machine having a display;

a content manager operable to receive a list comprising an identification of at least one contributor to be evaluated and to mine at least one community for content pertaining to the at least one contributor to be evaluated;

a data store of the machine operable to store the mined content as persistent content;

a semantic correlation module operable to generate correlation results by performing a semantic analysis and correlation on at least some of the persistent content; and

a dashboard utility operable to graphically display on the display of the machine information pertaining to at least some of the correlation results, wherein the dashboard utility comprises a correlation meter and a plurality of status arrows that indicate a measure of similarity between two different attributions.

2. The attribution analysis and correlation system of claim 1, wherein the content manager is also operable to retrieve at least one attribution corresponding to the at least one contributor.

3. The attribution analysis and correlation system of claim 2, wherein the semantic correlation module is operable to generate the correlation results by performing the semantic analysis and correlation on the at least some of the persistent content and on at least one of the at least one attribution.

4. The attribution analysis and correlation system of claim 1, wherein the semantic correlation module is operable to generate the correlation results based at least in part on a plurality of semantic abstracts, wherein the plurality of semantic abstracts are based at least in part on the persistent content.

5. The attribution analysis and correlation system of claim 2, wherein the semantic correlation module is operable to generate the correlation results based at least in part on a plurality of semantic abstracts, wherein the plurality of semantic abstracts are based at least in part on the persistent content and on the at least one attribution.

6. The attribution analysis and correlation system of claim 1, wherein the content manager is operable to mine the at least one community via interaction with at least one of a plurality of search engines.

7. The attribution analysis and correlation system of claim 1, further comprising a user interface operable to allow a user to generate the list.

8. The attribution analysis and correlation system of claim 2, further comprising a data store operable to store the at least one attribution.

9. The attribution analysis and correlation system of claim 1, further comprising a data store operable to store the generated correlation results.

10. A computer-implemented method, comprising:

receiving a list of at least one contributor to be evaluated;

mining at least one community for content pertaining to the at least contributor;

storing the mined content as persistent content;

performing a semantic analysis and correlation on the persistent content to generate correlation results, wherein performing the semantic analysis comprises creating at least one semantic abstract corresponding to the persistent content, and wherein the at least one semantic abstract is based on a plurality of dominant vectors and a plurality of dominant phrase vectors;

displaying information pertaining to the correlated results; and

displaying a correlation meter and a plurality of status arrows that indicate a measure of similarity between two different attributions corresponding to the at least one contributor.

11. The computer-implemented method of claim 10, further comprising retrieving attributions corresponding to the at least one contributor to be evaluated.

12. The computer-implemented method of claim 11, wherein the semantic analysis and correlation is also performed on the attributions.

13. The computer-implemented method of claim 10, further comprising storing intermediate results of the semantic analysis and correlation.

14. The computer-implemented method of claim 10, wherein the semantic analysis and correlation is based at least in part on previously generated correlation results.

15. The computer-implemented method of claim 10, wherein the at least one contributor comprises a plurality of contributors that a user suspects is the same person.

16. The computer-implemented method of claim 10, wherein the at least one contributor comprises a single contributor, wherein a user suspects that authorship of the single contributor has changed at least once within a particular date range.

17. The computer-implemented method of claim 10, further comprising storing the correlated results.