System and Method to Facilitate Mapping and Storage of Data Within One or More Data Taxonomies

• US 20090024623A1
• Filed: 07/20/2007
• Published: 01/22/2009
• Est. Priority Date: 07/20/2007
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Oath Inc. (Verizon Communications Inc.)
• Inventors: Riedel, Lance Alan, Josifovski, Vanja, Broder, Andrei Zary, Fontoura, Marcus Felipe
• Application Number:
  US11/781,176
• Publication Number:
  US 20090024623A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A system and method to facilitate mapping and storage of data within one or more data taxonomies are described. Content information is received over a network. The content information is further analyzed to determine at least one theme representing subject matter related to the content information. Finally, the content information is stored within respective predetermined categories organized within at least one taxonomy, the predetermined categories being associated with the at least one theme.

Claims

1. A method comprising:

receiving content information over a network;

analyzing said content information to determine at least one theme representing subject matter related to said content information; and

storing said content information within respective predetermined categories organized within at least one taxonomy, said predetermined categories being associated with said at least one theme.

2. The method according to claim 1, wherein said receiving further comprises:

receiving a web page requested by a user over said network, said content information being associated with said web page.

3. The method according to claim 1, wherein said receiving further comprises:

receiving an advertisement from an advertising entity over said network, said content information being associated with said received advertisement.

4. The method according to claim 1, wherein said at least one theme represents subject matter contextually related to said content information.

5. The method according to claim 1, wherein said at least one taxonomy further comprises a hierarchical content taxonomy to store web page information and a hierarchical advertising taxonomy to store advertisement information within said respective predetermined categories.

6. The method according to claim 5, further comprising:

providing a mapping database to store associations between said stored web page information and said stored advertisement information.

7. The method according to claim 6, wherein said associations further comprise a plurality of probability scores, each probability score indicating a probability that a certain type of advertisements stored within said advertising taxonomy matches said at least one theme associated with a web page requested by a user.

8. The method according to claim 6, wherein said associations further comprise a plurality of logical associations between said stored web page information and said stored advertisement information.

9. A system comprising:

at least one web server to receive content information over a network; and

a processing platform coupled to said at least one web server to analyze said content information to determine at least one theme representing subject matter related to said content information, and to store said content information within respective predetermined categories organized within at least one taxonomy, said predetermined categories being associated with said at least one theme.

10. The system according to claim 9, wherein said at least one web server further receives a web page requested by a user over said network, said content information being associated with said web page.

11. The system according to claim 9, wherein said at least one web server further receives an advertisement from an advertising entity over said network, said content information being associated with said received advertisement.

12. The system according to claim 9, wherein said at least one theme represents subject matter contextually related to said content information.

13. The system according to claim 9, wherein said at least one taxonomy further comprises a hierarchical content taxonomy to store web page information and a hierarchical advertising taxonomy to store advertisement information within said respective predetermined categories.

14. The system according to claim 13, wherein said platform is further coupled to a mapping database to store associations between said stored web page information and said stored advertisement information.

15. The system according to claim 14, wherein said associations further comprise a plurality of probability scores, each probability score indicating a probability that a certain type of advertisements stored within said advertising taxonomy matches said at least one theme associated with a web page requested by a user.

16. The system according to claim 14, wherein said associations further comprise a plurality of logical associations between said stored web page information and said stored advertisement information.

17. A computer readable medium containing executable instructions, which, when executed in a processing system, cause said system to perform a method comprising:

receiving content information over a network;

analyzing said content information to determine at least one theme representing subject matter related to said content information; and

storing said content information within respective predetermined categories organized within at least one taxonomy, said predetermined categories being associated with said at least one theme.

18. The computer readable medium according to claim 17, wherein said receiving further comprises:

receiving a web page requested by a user over said network, said content information being associated with said web page.

19. The computer readable medium according to claim 17, wherein said receiving further comprises:

receiving an advertisement from an advertising entity over said network, said content information being associated with said received advertisement.

20. The computer readable medium according to claim 17, wherein said at least one theme represents subject matter contextually related to said content information.

21. The computer readable medium according to claim 17, wherein said at least one taxonomy further comprises a hierarchical content taxonomy to store web page information and a hierarchical advertising taxonomy to store advertisement information within said respective predetermined categories.

22. The computer readable medium according to claim 21, wherein said method further comprises:

providing a mapping database to store associations between said stored web page information and said stored advertisement information.

23. The computer readable medium according to claim 22, wherein said associations further comprise a plurality of probability scores, each probability score indicating a probability that a certain type of advertisements stored within said advertising taxonomy matches said at least one theme associated with a web page requested by a user.

24. The computer readable medium according to claim 22, wherein said associations further comprise a plurality of logical associations between said stored web page information and said stored advertisement information.