ANIMATING INANIMATE DATA

• US 20120197895A1
• Filed: 02/02/2011
• Published: 08/02/2012
• Est. Priority Date: 02/02/2011
• Status: Abandoned Application

• Current Assignee: Micro Focus Software, Inc. (Open Text Corporation)
• Original Assignee: Micro Focus Software, Inc. (Open Text Corporation)
• Inventors: Isaacson, Scott A., Kimball, Kirk R., Nicolet, Jim A.
• Application Number:
  US13/019,577
• Publication Number:
  US 20120197895A1
• Time in Patent Office: Days
• US Class Current: 707/738
• CPC Class Codes: G06F 16/164 File meta data generation

Abstract

Methods and computer program product relate to the animation of data. The methods and product are executable on a processing device in a computing system environment so as to effectively empower new data files to find and make associations with other applications or principles that already have built up associations or binding with data files that are similar to the new data file.

Claims

1. In a computing system environment, a method of data animation executed on a processing device, comprising:

monitoring, by said processing device, data files in said computing system environment; and

triggering, by said processing device, data animation analysis without user request each time a new or modified data file is detected in said computing system environment.

2. The method of claim 1, wherein said data animation analysis includes:

detecting by said processing device, common patterns in content of said data files;

grouping, by said processing device, said data files into different relevancy groups based upon detected common patterns;

arbitrarily determining, by said processing device, operations previously performed on each of said data files in a selected relevancy group; and

identifying, by said processing device, a subset of data files in said relevancy group that have not undergone a particular operation like other data files of said selected relevancy group.

3. The method of claim 2, including presenting, by said processing device, to a user of said processing device a suggestion to perform a particular operation on said subset of said data files.

4. The method of claim 2, including presenting, by said processing device, to a user of said processing device a notification that said other data files have undergone said particular operation.

5. The method of claim 2, including establishing one of said relevancy groups by (a) creating, by said processing device, a key in a mapping space for a relevancy topic and (b) determining when any of said data files is sufficiently related to the relevancy topic by being within a predefined closeness of the key in the mapping space.

6. The method of claim 5, wherein the mapping space is defined by an N-dimensional space according to a number of symbols corresponding to underlying original bits of data.

7. The method of claim 2, including evaluating, by said processing device, all data files bit by bit and all parsable files token by token to identify said common patterns.

8. The method of claim 2, wherein said determining step includes running, by said processing device, complex event algorithms on processing systems in said computing system environment that store, process, transport, manage, protect, produce, consume or otherwise handle data.

9. A data animation method for executing on a processing device, comprising:

receiving, by said processing device, data files;

detecting, by said processing device, common patterns in content of said data files;

grouping, by said processing device, said data files into different relevancy groups based upon detected common patterns;

arbitrarily determining, by said processing device, operations performed on each of said data files in a selected relevancy group; and

identifying, by said processing device, a subset of data files in said selected relevancy group that have not undergone a particular operation like other data files of said selected relevancy group.

10. The method of claim 9, including triggering the detecting, grouping, determining and identifying steps without user request each time a new or modified data file is received by said processing device.

11. The method of claim 9, including presenting, by said processing device, to a user of said processing device a suggestion to perform a particular operation on said subset of said data files.

12. The method of claim 9, including presenting, by said processing device, to a user of said processing device a notification that said other data files have undergone said particular operation.

13. The method of claim 9, including creating, by said processing device, a key in a mapping space for a relevancy topic and defining, by said processing device, a measure of closeness to the key in the mapping space based upon mathematical distance.

14. The method of claim 9, including evaluating, by said processing device, all unstructured data files bit by bit and all parsable files token by token to identify said common patterns.

15. The method of claim 9, wherein said determining includes running, by said processing device, complex event algorithms on processing systems that store, process, transport, manage, protect, produce, consume or handle data.

16. A computer program product available on a computer readable medium for loading onto a processing device, the computer program product configured for data animation, comprising:

executable instructions for monitoring, by said processing device, data files in said computing system environment; and

triggering, by said processing device, data animation analysis without user request each time a new or modified data file is detected in said computing system environment.

17. The computer program product of claim 16, further including executable instructions for detecting by said processing device, common patterns in content of said data files;

grouping, by said processing device, said data files into different relevancy groups based upon detected common patterns;

arbitrarily determining, by said processing device, operations previously performed on each of said data files in a selected relevancy group; and

identifying, by said processing device, a subset of data files in said relevancy group that have not undergone a particular operation like other data files of said selected relevancy group.

18. The computer program product of claim 17, further including executable instructions for presenting, by said processing device, to a user of said processing device a suggestion to perform a particular operation on said subset of said data files.

19. The computer program product of claim 17, further including executable instructions for presenting, by said processing device, to a user of said processing device a notification that said other data files have undergone said particular operation.