Adaptive knowledge lifecycle management aligned with assessed financial value based on organizing structure of knowledge assets
View Patent ↗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.
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.