AUTOMATED GENERATION OF NETWORKS BASED ON TEXT ANALYTICS AND SEMANTIC ANALYTICS

• US 20140149405A1
• Filed: 11/26/2012
• Published: 05/29/2014
• Est. Priority Date: 11/26/2012
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Guy, Ido, Dawson, Christopher James, Radhakrishnan, Rajesh
• Application Number:
  US13/685,322
• Publication Number:
  US 20140149405A1
• Time in Patent Office: Days
• US Class Current: 707/736
• CPC Class Codes: G06F 16/2457 with adaptation to user needs

Abstract

A method includes providing data from at least one data source to an analytics engine; outputting data from an identity management system to the analytics engine; outputting data from an enterprise communities database to the analytics engine; causing the analytics engine to issue at least one recommendation based on the data from the at least one data source, the identity management system data and the enterprise communities database data, wherein the determining is executed by at least one processor.

Claims

1. A method comprising:

the computer providing data from at least one data source to an analytics engine;

the computer outputting data from an identity management system to said analytics engine;

the computer outputting data from an enterprise communities database to said analytics engine; and

the computer causing said analytics engine to issue at least one recommendation based on said data from said at least one data source, said identity management system data and said enterprise communities database data.

2. The method according to claim 1, wherein said at least one data source is unstructured data from an enterprise intranet.

3. The method according to claim 1, wherein said at least one data source is unstructured data from an extended enterprise extranet.

4. The method according to claim 1, wherein said at least one data source is unstructured data that is time generated.

5. The method according to claim 1, wherein said at least one data source is embedded meta-data from distinct data.

6. The method according to claim 1, further comprising causing said analytics engine to process said data from said at least one data source using text analytics.

7. The method according to claim 1, further comprising causing said analytics engine to process said data from said at least one data source using web analytics.

8. The method according to claim 1, further comprising causing said analytics engine to process said data from said identity management communities database using identity analytics.

9. The method according to claim 1, further comprising causing said analytics engine to process said data from said enterprise communities database using identity analytics.

10. The method according to claim 1, wherein said recommendation is a determination whether to issue a join this group recommendation.

11. The method according to claim 1, wherein said recommendation is a determination whether to issue a create a new group recommendation.

12. A computer system comprising:

one or more processors, one or more computer-readable memories and one or more computer-readable, tangible storage devices;

an analytics engine, operatively coupled to at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, receiving data from at least one data source;

an identity management system, operatively coupled to at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, providing data to said analytics engine;

an enterprise communities database, operatively coupled to at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, providing data to said analytics engine, wherein said analytics engine issues at least one recommendation based on said data from said at least one data source, said identity management system data and said enterprise communities database data.

13. The system according to claim 12, wherein said at least one data source is unstructured data from an enterprise intranet.

14. The system according to claim 12, wherein said at least one data source is unstructured data from an extended enterprise extranet.

15. The system according to claim 12, wherein said at least one data source is unstructured data that is time generated.

16. The system according to claim 12, wherein said at least one data source is embedded meta-data from distinct data.

17. The system according to claim 12, wherein said analytics engine processes said data from said at least one data source using text analytics.

18. The system according to claim 12, wherein said analytics engine processes said data from said at least one data source using web analytics.

19. The system according to claim 12, wherein said analytics engine processes said data from said identity management communities database using identity analytics.

20. A computer program product comprising:

one or more computer-readable, tangible storage medium;

program instructions, stored on at least one of the one or more storage medium, to receive data from at least one data source and provide said data from said at least data source to an analytics engine;

program instructions, stored on at least one of the one or more storage medium, to receive data from an identity management system and provide said identity management data to said analytics engine;

program instructions, stored on at least one of the one or more storage medium, to receive data from an enterprise communities database and provide said enterprise communities database data to said analytics engine, wherein said analytics engine issues at least one recommendation based on said data from said at least one data source, said identity management system data and said enterprise communities database data.

21. The computer program product according to claim 20, wherein said recommendation is a determination whether to issue a join this group recommendation.

22. The computer program product according to claim 20, wherein said recommendation is a determination whether to issue a create a new group recommendation.