Federated system and methods and mechanisms of implementing and using such a system

• US 7,962,512 B1
• Filed: 04/16/2010
• Issued: 06/14/2011
• Est. Priority Date: 07/31/2002
• Status: Expired due to Fees

• Current Assignee: Cadence Design Systems Incorporated (Cadence Group)
• Original Assignee: Cadence Design Systems Incorporated (Cadence Group)
• Inventors: Henderson, Kenneth Jerome, LeClair, Terry, Sholtis, Steven
• Primary Examiner(s): Breene; John
• Assistant Examiner(s): Ly; Anh
• Application Number:
  US12/762,239
• Time in Patent Office: 424 Days
• Field of Search: 707/777, 707/791, 707/796, 707/802
• US Class Current: 707/777
• CPC Class Codes: G06F 16/256 in federated or virtual databases

Abstract

A federated system and methods and mechanisms of implementing and using such a system is disclosed. In some embodiments, one or more mappings are created between a taxonomy view at a node and one or more taxonomies of one or more data sources. The one or more data sources can then be accessed via the taxonomy view. In other embodiments, one or more mappings are created between content from different data sources and content from those data sources are merged using the one or more mappings.

Claims

1. A federated system comprising:

a plurality of data sources, at least two data sources of the plurality of data sources comprising content; and

one or more nodes, one or more of the plurality of data sources being defined on the at least one node, the at least one node further comprising one or more mappings between the content from the at least two data sources, wherein the content is obtained from the at least two data sources and merged using the one or more mappings, and the merged content from the at least two data sources are provided to one or more clients, wherein the one or more mappings between the content from the at least two data sources is created at least in part by;

normalizing the content from the at least two data sources;

comparing values of same object type from the at least two data sources; and

creating one or more mappings between matching values of the same object type from the at least two data sources.

2. The system of claim 1, wherein less than all of the content from the at least two data sources are mapped or merged.

3. The system of claim 1, wherein at least one of the one or more mappings between the content from the at least two data sources is created automatically, dynamically or statistically.

4. The system of claim 1, wherein the content of at least one of the plurality of data sources comprises values, at least one of the values being of an object type.

5. The system of claim 1, wherein at least two of the plurality of data sources reside at different locations.

6. The system of claim 1, wherein the content of at least one of the plurality of data sources is different from the content of at least one other data source.

7. A physical storage device comprising instructions, the instructions being executable by a computer to cause the computer to perform a process, the process comprising:

accessing a plurality of data sources, at least two of the plurality of data sources comprising content;

obtaining content from the at least two of the plurality of data sources;

creating one or more mappings between the content from the at least two data sources, wherein the one or more mappings between the content from the at least two data sources comprise;

normalizing the content from the at least two data sources;

comparing values of same object type from the at least two data sources; and

creating one or more mappings between matching values of the same object type from the at least two data sources;

merging the content from the at least two data sources using the one or more mappings; and

providing the merged content from the at least two data sources to one or more clients.

8. The device of claim 7, wherein less than all of the content from the at least two data sources are mapped or merged.

9. The device of claim 7, wherein at least one of the one or more mappings between the content from the at least two data sources is created automatically, dynamically or statistically.

10. The device of claim 7, wherein the content of at least one of the plurality of data sources comprises values, at least one of the values being of an object type.

11. The device of claim 7, wherein the act of normalizing comprises converting one or more of the values from the at least two data resources into one or more standard formats.

12. The device of claim 11, wherein merging the content from the at least two data sources using the one or more mappings comprises:

selecting one of the object types in both of the at least two data sources; and

merging the obtained content based at least in part upon the values of the selected object type from the at least two data sources using the one or more mappings.

13. A method comprising:

accessing a plurality of data sources, at least two of the plurality of data sources comprising content;

obtaining content from the at least two of the plurality of data sources;

creating one or more mappings between the content from the at least two data sources, wherein the one or more mappings between the content from the at least two data sources comprise;

normalizing the content from the at least two data sources;

comparing values of same object type from the at least two data sources; and

creating one or more mappings between matching values of the same object type from the at least two data sources;

merging the content from the at least two data sources using the one or more mappings; and

providing the merged content from the at least two data sources to one or more clients.

14. The method of claim 13, wherein less than all of the content from the at least two data sources are mapped or merged.

15. The method of claim 13, wherein at least one of the one or more mappings between the content from the at least two data sources is created automatically, dynamically or statistically.

16. The method of claim 13, wherein the content of at least one of the plurality of data sources comprises values, at least one of the values being of an object type.

17. The method of claim 13, wherein at least two of the plurality of data sources reside at different locations.

18. The method of claim 17, wherein merging the content from the at least two data sources using the one or more mappings comprises:

selecting one of the object types in both of the at least two data sources; and

merging the obtained content based at least in part upon the values of the selected object type from the at least two data sources using the one or more mappings.

19. The method of claim 17, wherein normalizing the content from the at least two data sources comprising:

converting one or more of the values from the at least two data resources into one or more standard formats.

20. The method of claim 17, wherein at least one of the data sources comprises one or more data sources, the one or more data sources comprising content.