System and method for classifying objects

• US 7,610,285 B1
• Filed: 09/21/2006
• Issued: 10/27/2009
• Est. Priority Date: 09/21/2005
• Status: Expired due to Fees

• Current Assignee: Breakwater Solutions LLC
• Original Assignee: Stored Iq
• Inventors: Lee, Peter, Zoellner, Keith, Might, Brad
• Primary Examiner(s): Vital; Pierre M
• Assistant Examiner(s): Rahman; Sabana
• Application Number:
  US11/524,831
• Time in Patent Office: 1,132 Days
• Field of Search: 707/7
• US Class Current: 1/1
• CPC Class Codes: G06F 16/16 File or folder operations, e.g. details of user interfaces specifically adapted to file systems
• CPC Class Codes: G06F 16/164 File meta data generation
• CPC Class Codes: G06F 16/35 Clustering; Classification
• CPC Class Codes: Y10S 707/99937 Sorting

Abstract

Embodiments of a classification pipeline disclosed herein have the ability to both collect data as it occurs and dynamically redact it, allowing ongoing statistics to be gathered and maintained while simultaneously constraining the total amount of storage capacity that must be dedicated to such a purpose. Various types of information can be extracted from or obtained on the object through the classification pipeline. In one embodiment, the classification pipeline comprises a plurality of layers implemented as a set of services available to network clients through a Web interface or an Applications Programming Interface (API). Each client can subscribe to one or more layers of the classification pipeline at their leisure and tailor their classification pipeline configuration through the interface. The classification pipeline can be configured to collaborate with other software to provide a consistent snapshot of the state of a network environment based on data collected at the time.

Claims

1. A computer-implemented method of classifying objects, comprising:

providing a set of user-configurable services from a classification pipeline server machine to a plurality of filesystem client machines across a network via an interface for a classification pipeline, wherein said classification pipeline comprises a plurality of processing layers and said layers comprise a first layer for extracting system metadata, a second layer for extracting security information, a third layer for extracting user directory information, a fourth layer for removing duplication, a fifth layer for determining a file type based on content, a sixth layer for converting said content into text, a seventh layer for removing ambiguity from said text, an eighth layer for extracting keywords from said text, a ninth layer for extracting raw content-based entities from said text, and a tenth layer for extracting text patterns from said text;

receiving at said classification pipeline server machine through said interface for said classification pipeline a request from a filesystem client machine to obtain information on an object in a filesystem;

obtaining or extracting metadata on or about said object;

tagging or classifying said object according to a set of classification rules expressed across said metadata;

formulating a response at said classification pipeline server machine, wherein said response comprises said metadata, data contained by said object, a classification of said object, tagged entities found within content of said object, or a combination thereof; and

communicating said response from said classification pipeline server machine to said filesystem client machine.

2. The computer-implemented method of claim 1, further comprising formulating said request according to said interface.

3. The computer-implemented method of claim 2, wherein said interface is a Web interface, a remote procedural call interface, or an Applications Programming Interface.

4. The computer-implemented method of claim 1, wherein said request passes a set of parameters to said classification pipeline for said object.

5. The computer-implemented method of claim 4, wherein said set of parameters include required parameters and wherein said required parameters include Volume and File Name.

6. The computer-implemented method of claim 5, wherein said set of parameters further include optional parameters.

7. The computer-implemented method of claim 1, further comprising enabling clients to subscribe to one or more of said user-configurable services.

8. The computer-implemented method of claim 7, further comprising enabling said clients to configure subscribed services.

9. The computer-implemented method of claim 1, wherein each of said set of classification rules comprises a condition which enumerates expressions across a single attribute of said object.

10. A tangible computer-readable memory encoded with computer-executable instructions of a computer program for:

providing a set of user-configurable services from a classification pipeline server machine to a plurality of filesystem client machines across a network via an interface for a classification pipeline, wherein said classification pipeline comprises a plurality of processing layers and said layers comprise a first layer for extracting system metadata, a second layer for extracting security information, a third layer for extracting user directory information, a fourth layer for removing duplication, a fifth layer for determining a file type based on content, a sixth layer for converting said content into text, a seventh layer for removing ambiguity from said text, an eighth layer for extracting keywords from said text, a ninth layer for extracting raw content-based entities from said text, and a tenth layer for extracting text patterns from said text;

receiving at said classification pipeline server machine through said interface for said classification pipeline a request from a filesystem client machine to obtain information on an object in a filesystem;

obtaining or extracting metadata on or about said object;

tagging or classifying said object according to a set of classification rules expressed across said metadata;

formulating a response at said classification pipeline server machine, wherein said response comprises said metadata, data contained by said object, a classification of said object, tagged entities found within content of said object, or a combination thereof; and

communicating said response from said classification pipeline server machine to said filesystem client machine.

11. The computer-readable memory of claim 10, wherein said request is formulated according to said interface and wherein said interface is a Web interface, a remote procedural call interface, or an Applications Programming Interface.

12. The computer-readable memory of claim 10, wherein said request passes a set of parameters to said classification pipeline for said object.

13. The computer-readable memory of claim 12, wherein said set of parameters include required parameters and wherein said required parameters include Volume and File Name.

14. The computer-readable memory of claim 13, wherein said set of parameters further include optional parameters.

15. The computer-readable memory of claim 10, further comprising computer-executable instructions for enabling clients to subscribe to one or more of said user-configurable services.

16. The computer-readable memory of claim 10, further comprising computer-executable instructions for enabling said clients to configure a profile of said classification pipeline.

17. A computer system implementing a classification pipeline for classifying objects in a network environment, said computer system comprising a computer-readable storage medium encoded with computer-executable instructions for:

providing a set of user-configurable services from a classification pipeline server machine to a plurality of filesystem client machines across a network via an interface for a classification pipeline, wherein said classification pipeline comprises a plurality of processing layers and said layers comprise a first layer for extracting system metadata, a second layer for extracting security information, a third layer for extracting user directory information, a fourth layer for removing duplication, a fifth layer for determining a file type based on content, a sixth layer for converting said content into text, a seventh layer for removing ambiguity from said text, an eighth layer for extracting keywords from said text, a ninth layer for extracting raw content-based entities from said text, and a tenth layer for extracting text patterns from said text;

receiving at said classification pipeline server machine through said interface for said classification pipeline a request from a filesystem client machine to obtain information on an object in a filesystem;

obtaining or extracting metadata on or about said object;

tagging or classifying said object according to a set of classification rules expressed across said metadata;

formulating a response at said classification pipeline server machine, wherein said response comprises said metadata, data contained by said object, a classification of said object, tagged entities found within content of said object, or a combination thereof; and

communicating said response from said classification pipeline server machine to said filesystem client machine.

18. The computer system of claim 17, further comprising a plurality of nodes residing in said network environment, wherein each of said plurality of nodes is operable to execute one or more instances of said classification pipeline.

19. The computer system of claim 17, wherein said request is a Web interface, a remote procedural call interface, or an Applications Programming Interface.