Adaptive Knowledge Lifecycle Management

• US 20070112712A1
• Filed: 10/24/2006
• Published: 05/17/2007
• Est. Priority Date: 11/02/2005
• Status: Active Grant

• Current Assignee: Manyworlds Incorporated
• Original Assignee: Manyworlds Incorporated
• Inventors: Moneypenny, Naomi, Flinn, Steven
• Granted Patent: US 7,831,535 B2
• Time in Patent Office: Days
• US Class Current: 706/45
• CPC Class Codes: G06Q 30/0283 Price estimation or determination
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis
• CPC Class Codes: G06Q 99/00 Subject matter not provided for in other groups of this subclass

Abstract

In accordance with the embodiments described herein, a method and system for adaptive knowledge lifecycle management, and methods for delivering adaptive knowledge lifecycle management services to customers, is disclosed. Adaptive knowledge lifecycle management provides a means for beneficially adapting knowledge assets and their collective structures over time. It also provides a means for generating an estimate of the value of knowledge assets and their associated organizing topologies, as well as providing a means to determine changes in value corresponding to changes to the knowledge assets and their associated organizing topologies.

Claims

1. A method of knowledge management comprising:

identifying a plurality of computer-based knowledge assets;

identifying an organizing structure for the plurality of computer-based knowledge assets;

assessing a financial value for a plurality of the knowledge assets based, at least in part, on the organizing structure of the knowledge assets; and

using the financial value of the plurality of knowledge assets to decide on modifications to the organizing structure of the knowledge assets.

2. The method of claim 1, wherein identifying a plurality of computer-based knowledge assets comprises:

identifying a computer-based knowledge asset, the knowledge asset being selected from a group comprising an interactive computer-based application, an executable software instance, a Web page, a document, a graphic, a video, and an audio file.

3. The method of claim 1, wherein identifying an organizing structure for the plurality of computer-based knowledge assets comprises:

identifying a relationship topology among the knowledge assets, the relationship topology being selected from a group comprising a hierarchy, a network, and a fuzzy network.

4. The method of claim 1, wherein identifying an organizing structure for the plurality of computer-based knowledge assets comprises:

applying a knowledge asset lifecycle model.

5. The method of claim 1 further comprising:

monitoring usage behaviors of one or more users of the plurality of computer-based knowledge assets;

assessing automatically a financial value for one or more of the knowledge assets based, at least in part, on usage behaviors associated with one or more of the plurality of knowledge assets; and

adapting automatically the organizing structure of the knowledge assets consistent with the assessed financial value of the knowledge assets.

6. The method of claim 5, wherein adapting automatically the organizing structure of the knowledge assets consistent with the assessed value of the knowledge assets comprises:

modifying the organizing structure of the knowledge assets, the modification being selected from a group consisting of modifying a relationship between a first knowledge asset and a second knowledge asset, generating a knowledge asset, and deleting a knowledge asset.

7. The method of claim 5, wherein adapting automatically the organizing structure of the knowledge assets consistent with the assessed value of the knowledge assets comprises:

applying a knowledge asset lifecycle model.

8. The method of claim 1 wherein assessing a financial value for a plurality of the knowledge assets based, at least in part, on the organizing structure of the knowledge assets comprises:

assessing a financial value for a plurality of the knowledge assets based, at least in part, on the number of the plurality of knowledge assets and the organizing structure of the knowledge assets.

9. The method of claim 8, wherein assessing a financial value for a plurality of the knowledge assets based, at least in part, on the number of the plurality of knowledge assets and the organizing structure of the knowledge assets comprises:

identifying a relationship topology among knowledge assets, the relationship topology being selected from a group comprising a hierarchy, a network, and a fuzzy network.

10. The method of claim 9, wherein assessing a financial value for a plurality of the knowledge assets based, at least in part, on the number of the plurality of knowledge assets and the organizing structure of the knowledge assets comprises:

applying a valuation procedure that takes as input an indicator of the number of knowledge assets and the relationships among the knowledge assets; and

generating a financial value for the plurality of knowledge assets.

11. The method of claim 10, further comprising:

applying a valuation algorithm in which network value scales proportional to Nln(N), where N is the number of knowledge assets that are related.

12. The method of claim 11, further comprising:

applying a valuation algorithm that includes the cost of accessing one or more of the plurality of knowledge assets.

13. The method of claim 10, further comprising:

applying an experimental design model.

14. The method of claim 13, wherein applying an experimental design model comprises:

applying a valuation algorithm in which value scales proportional to the square root of the average access cost of the plurality of knowledge assets.

15. A method of knowledge lifecycle management services comprising:

establishing a plurality of computer-based knowledge assets;

establishing an organizing structure for the knowledge assets; and

delivering web services-based adaptive knowledge lifecycle management services to a customer.

16. The method of claim 15, wherein delivering web services-based adaptive knowledge lifecycle management services to a customer comprises:

delivering a web services-based adaptive lifecycle management service, the service being selected from a group consisting of knowledge acquisition, knowledge architecture, knowledge distribution, and knowledge delivery and management.

17. The method of claim 15, wherein delivering web services-based adaptive lifecycle management services to a customer comprises:

establishing a computer-based business process workflow for a customer; and

delivering a web services-based adaptive knowledge lifecycle management service to facilitate access of knowledge during use of the computer-based business process.

18. The method of claim 15, wherein delivering web services-based adaptive lifecycle management services to a customer comprises:

monitoring usage behaviors of one or more users of one or more of the plurality of computer-based knowledge assets;

assessing automatically a financial value for one or more of the knowledge assets based, at least in part, on usage behaviors associated with one or more of the plurality of knowledge assets; and

adapting automatically the organizing structure of the knowledge assets consistent with the assessed financial value of the knowledge assets.

19. A method of knowledge management services comprising:

establishing a plurality of knowledge assets and a corresponding organizing topology;

establishing a fee based, at least in part, on the plurality of knowledge assets and the corresponding organizing topology; and

charging the fee to a customer for use of the assets and the organizing topology.

20. The method of claim 19, wherein establishing a plurality of knowledge assets and a corresponding organizing topology comprises:

establishing a fuzzy network-based organizing topology.