System and method for active knowledge management

• US 8,965,817 B1
• Filed: 09/24/2010
• Issued: 02/24/2015
• Est. Priority Date: 09/24/2010
• Status: Active Grant

• Current Assignee: Wipro Limited
• Original Assignee: Wipro Limited
• Inventors: Forrester, Dean, Jones, James Wesley, Keleher, William Ronald Albert, Wright, Carol
• Primary Examiner(s): Starks, Wilbert L
• Assistant Examiner(s): Seck, Ababacar
• Application Number:
  US12/889,639
• Time in Patent Office: 1,614 Days
• Field of Search: 706/14
• US Class Current: 706/14
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 50/2057 Career enhancement or continuing education service

Abstract

Systems and methods are described herein for actively managing the knowledge of a group of people, such as an organization'"'"'s employees. The systems and methods are implemented in one or more software modules that receive a current alarm event and identify historical information associated with a similar previous alarm event. The historical information associated with a similar previous alarm event can be presented to a user to assist the user in resolving the current alarm event. The software modules can collect new information associated with resolving the current alarm event and store the new information in a manner so that it can be identified easily in the future.

Claims

1. An active knowledge management computing apparatus comprising a memory coupled to a processor which is configured to execute programmed instructions stored in the memory comprising:

identifying an alarm event based on received device data concerning operation of a monitored device;

determining a relevance of one or more historical resolutions for the identified alarm event for the monitored device based on a ranking function, an aggregate data set relevance, and one or more weights applied to each of the ranking function and the aggregate data set relevance, wherein the aggregate data set relevance is based on one or more distance functions and a distance weighting factor applied to each of the one or more distance functions;

identifying and providing at least a subset of the one or more historical resolutions for the identified alarm event to a client computing device based on the determined relevance; and

receiving and storing a current resolution of the identified alarm event and a ranking of one or more of the provided historical resolutions from the client computing device.

2. The apparatus of claim 1, wherein the received device data is real time data.

3. The apparatus of claim 1, wherein the identifying the alarm event further comprises predicting the alarm event from the received device data.

4. The apparatus of claim 1, wherein the ranking function returns a measure of end user-assessed usefulness for at least one of the one or more historical resolutions for the identified alarm event for the monitored device based at least in part on one or more previously received and stored rankings of the at least one of the one or more historical resolutions.

5. The apparatus as set forth in claim 1 wherein each of the distance functions utilizes a stored hierarchical relationship between the monitored device and other devices.

6. The apparatus of claim 1, wherein the one or more distance functions correspond to a location, a device type, or an application type of the monitored device associated with the identified alarm event.

7. The apparatus of claim 1, further comprising identifying and providing additional data associated with the monitored device and the identified alarm for the device to the client computing device.

8. The apparatus of claim 7, wherein the additional data further comprises unstructured data.

9. The apparatus of claim 1 wherein the receiving and storing the current resolution of the identified alarm event further comprises receiving and storing additional data associated with the current resolution of the identified alarm for the monitored device from the client computing device.

10. A non-transitory computer readable medium having stored thereon instructions for actively managing knowledge comprising machine executable code which when executed by at least one processor, causes the processor to perform steps comprising:

identifying an alarm event based on received device data concerning operation of a monitored device;

determining a relevance of one or more historical resolutions for the identified alarm event for the monitored device based on a ranking function, an aggregate data set relevance, and one or more weights applied to each of the ranking function and the aggregate data set relevance, wherein the aggregate data set relevance is based on one or more distance functions and a distance weighting factor applied to each of the one or more distance functions;

identifying and providing at least a subset of the one or more historical resolutions for the identified alarm event to a client computing device based on the determined relevance; and

receiving and storing a current resolution of the identified alarm event and a ranking of one or more of the provided historical resolutions from the client computing device.

11. The medium of claim 10, wherein the received device data is real time data.

12. The medium of claim 10, wherein the identifying the alarm event further comprises predicting the alarm event from the received device data.

13. The medium of claim 10, wherein the ranking function returns a measure of end user-assessed usefulness for at least one of the one or more historical resolutions for the identified alarm event for the monitored device based at least in part on one or more previously received and stored rankings of the at least one of the one or more historical resolutions.

14. The medium as set forth in claim 10 wherein each of the distance functions utilizes a stored hierarchical relationship between the monitored device and other devices.

15. The medium of claim 10, wherein the one or more distance functions correspond to a location, a device type, or an application type of the monitored device associated with the identified alarm event.

16. The medium of claim 10, further comprising identifying and providing additional data associated with the monitored device and the identified alarm for the device to the client computing device.

17. The medium of claim 16, wherein the additional data further comprises unstructured data.

18. The medium of claim 10 wherein the receiving and storing the current resolution of the identified alarm event further comprises receiving and storing additional data associated with the current resolution of the identified alarm for the monitored device from the client computing device.

19. A method for actively managing knowledge, the method comprising:

identifying by an active knowledge management computing device an alarm event based on received device data concerning operation of a monitored device;

determining by the active knowledge management computing device a relevance of one or more historical resolutions for the identified alarm event for the monitored device based on a ranking function, an aggregate data set relevance, and one or more weights applied to each of the ranking function and the aggregate data set relevance, wherein the aggregate data set relevance is based on one or more distance functions and a distance weighting factor applied to each of the one or more distance functions;

identifying and providing by the active knowledge management computing device at least a subset of the one or more historical resolutions for the identified alarm event to a client computing device based on the determined relevance; and

receiving and storing by the active knowledge management computing device a current resolution of the identified alarm event and a ranking of one or more of the provided historical resolutions from the client computing device.

20. The method of claim 19, wherein the received device data is real time data.

21. The method of claim 19, wherein the identifying the alarm event further comprises predicting the alarm event from the received device data.

22. The method of claim 19, wherein the ranking function returns a measure of end user-assessed usefulness for at least one of the one or more historical resolutions for the identified alarm event for the monitored device based at least in part on one or more previously received and stored rankings of the at least one of the one or more historical resolutions.

23. The method as set forth in claim 19 wherein each of the distance functions utilizes a stored hierarchical relationship between the monitored device and other devices.

24. The method of claim 19, wherein the one or more distance functions correspond to a location, a device type, or an application type of the monitored device associated with the identified alarm event.

25. The method of claim 19, further comprising identifying and providing by the active knowledge management computing device additional data associated with the monitored device and the identified alarm for the device to the client computing device.

26. The method of claim 25, wherein the additional data further comprises unstructured data.

27. The method of claim 19 wherein the receiving and storing the current resolution of the identified alarm event further comprises receiving and storing by the active knowledge management computing device additional data associated with the current resolution of the identified alarm for the monitored device from the client computing device.