Adaptive knowledge lifecycle management aligned with assessed financial value based on organizing structure of knowledge assets

• US 7,831,535 B2
• Filed: 10/24/2006
• Issued: 11/09/2010
• Est. Priority Date: 11/02/2005
• Status: Expired due to Fees

• Current Assignee: Manyworlds Incorporated
• Original Assignee: Manyworlds Incorporated
• Inventors: Moneypenny, Naomi Felina, Flinn, Steven Dennis
• Primary Examiner(s): Holmes, Michael B.
• Assistant Examiner(s): Tran, Mai T
• Application Number:
  US11/552,489
• Publication Number:
  US 20070112712A1
• Time in Patent Office: 1,477 Days
• Field of Search: 706/46, 705/1, 705/10, 705/1.1, 705/7, 705/36.R, 707/104.1
• US Class Current: 706/46
• 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 a computer-implemented organizing structure for the plurality of computer-based knowledge assets;

assessing a financial-based value for a plurality of the knowledge assets based on the computer-implemented organizing structure of the knowledge assets;

using the financial-based value of the plurality of knowledge assets to decide on user navigable fuzzy network-based modifications to the computer-implemented organizing structure of the knowledge assets; and

implementing the user navigable fuzzy network-based modifications.

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 a computer-implemented 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 a computer-implemented 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 value for one or more of the knowledge assets based;

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 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-based value for a plurality of the knowledge assets based on the computer-implemented organizing structure of the knowledge assets comprises:

assessing a relative value for a plurality of the knowledge assets based 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 relative value for a plurality of the knowledge assets based 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 8, wherein assessing a relative value for a plurality of the knowledge assets based 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 relative 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 N ln(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 relative value scales proportional to the square root of the average access cost of the plurality of knowledge assets.