Method for managing intellectual property

• US 8,380,548 B2
• Filed: 02/14/2008
• Issued: 02/19/2013
• Est. Priority Date: 02/15/2007
• Status: Active Grant

• Current Assignee: Dexter Kam Chin, So-Ling Carmen Ng
• Original Assignee: Dexter Kam Chin, So-Ling Carmen Ng
• Inventors: Chin, Dexter Kam, Ng, So-ling Carmen
• Primary Examiner(s): Frenel, Vanel
• Application Number:
  US12/030,887
• Publication Number:
  US 20080201187A1
• Time in Patent Office: 1,832 Days
• Field of Search: 705/7, 705/36.R, 705/310, 705/1, 705/10, 707/104.1, 707/3
• US Class Current: 705/7
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis

Abstract

A search algorithm is provided in an intellectual property (IP) management system for determining an optimal IP portfolio. The search algorithm generates and evaluates a plurality of IP portfolios using objective functions to find an IP portfolio that most nearly optimizes at least one goal. The goals to be optimized includes, for example, minimizing the costs of procuring the IP assets or maximizing the growth potential of the IP portfolio.

Claims

1. A method for managing a portfolio of intellectual property (IP) assets comprising:

generating an initial population of genomes that represents a set of possible solutions, wherein a genome comprises a plurality of genes and represents a portfolio of IP assets;

searching, within the population, for at least one genome representing an optimal IP portfolio solution that optimizes at least one strategic goal by modifying the population using a genetic algorithm until a terminating condition is satisfied; and

automatically generating at least one recommendation for future actions based on the optimal IP portfolio solution.

2. The method of claim 1 wherein the genetic algorithm comprises:

determining fitness values of the genomes by applying at least one objective fitness function to the genomes, the objective fitness function corresponds to a goal and a fitness value represents the degree to which the strategic goal is satisfied;

selecting parent genomes for reproduction based on their fitness values;

deriving new child genomes from the parent genomes; and

replacing the parent genomes with the child genomes in the population.

3. The method of claim 1 wherein the IP assets comprise patents, patent applications, trademarks, service marks, industrial designs, trade secrets, copyrights, licenses or domain names.

4. The method of claim 1 wherein the goal comprises maximizing number of patents that can be procured with a specified budget.

5. The method of claim 1 wherein the goal comprises maximizing protection in core technological areas.

6. The method of claim 1 wherein the goal comprises maximizing growth potential of the IP assets.

7. The method of claim 1 wherein the goal comprises minimizing cost of procuring legal protection for the IP assets.

8. The method of claim 1 wherein the gene represents number of patents filed in a particular market segment.

9. The method of claim 8 wherein the market segment is defined by technology area.

10. The method of claim 8 wherein the market segment is defined by jurisdiction.

11. A method for managing a portfolio of intellectual property (IP) assets, the method comprising:

receiving, via an input module, user information and analytical data, the user information comprising a plurality of goals;

searching, via a search module, for an optimal IP portfolio based on the user information and analytical data using an informed search algorithm, wherein the optimal IP portfolio optimizes at least one strategic goal; and

processing, via the search module, the optimal IP portfolio to automatically generate at least one recommendation for future actions based on the optimal IP portfolio.

12. The method of claim 11 wherein the informed search algorithm comprises an evolutionary algorithm.

13. The method of claim 11 wherein the analytical data comprises cost information and market information.

14. One or more computer readable media comprising computer-executable instructions that, when executed, perform the method as recited in claim 11.

15. The method of claim 11 wherein the informed search algorithm comprises a swarm-based algorithm.

16. The method of claim 11 wherein the goal comprises maximizing number of patents that can be procured with a specified budget.

17. The method of claim 11 wherein the goal comprises maximizing protection of the IP assets in core technological areas.

18. The method of claim 11 wherein the goal comprises maximizing growth potential of the IP assets.

19. The method of claim 11 wherein the goal comprises minimizing cost of procuring legal protection for the IP assets.

20. A system for managing a portfolio of IP assets, comprising:

an input unit for receiving, processing and storing user information and market information, the user information including a plurality of goals;

a search unit comprising an informed search algorithm that searches for an optimal IP portfolio that optimizes at least one strategic goal; and

a presentation device configured for presenting results based on the optimal IP portfolio.

21. The system of claim 20 wherein the input unit further comprises a database server for storing validated analytical data.

22. The system of claim 20 wherein the search algorithm comprises an informed search algorithm.

23. The system of claim 22 wherein the search algorithm comprises an evolutionary algorithm.

24. The system of claim 23 wherein the evolutionary algorithm comprises a genetic algorithm.

25. A system for managing a portfolio of IP assets, the system comprising:

an input unit configured for receiving user information and market information, the user information including a plurality of goals; and

a search unit configured to receive the user information and market information from the input module and uses a genetic algorithm to search for an optimal IP portfolio that optimizes at least one strategic goal, the genetic algorithm comprises

determining fitness values of genomes by applying at least one objective fitness function to the genomes, wherein a genome represents an IP portfolio, the objective fitness function corresponds to a goal and a fitness value represents degree to which the strategic goal is satisfied,

selecting parent genomes for reproduction based on their fitness values,

deriving new child genomes from the parent genomes, and

replacing the parent genomes with the child genomes.