SYSTEM AND METHOD FOR PERFORMING A SEMANTIC OPERATION ON A DIGITAL SOCIAL NETWORK

• US 20130007124A1
• Filed: 12/30/2011
• Published: 01/03/2013
• Est. Priority Date: 05/01/2008
• Status: Active Grant

• Current Assignee: Primal Fusion Inc.
• Original Assignee: Primal Fusion Inc.
• Inventors: SWEENEY, Peter, ILYAS, Ihab Francis, KHAN, Naim
• Granted Patent: US 10,198,503 B2
• Time in Patent Office: Days
• US Class Current: 709/204
• CPC Class Codes: G06F 16/3334 Selection or weighting of terms from queries, including natural language queries
• CPC Class Codes: G06F 16/367 Ontology
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

Disclosed is a system and method for performing a semantic operation on a social network. In an embodiment, the method comprises receiving a social network user context associated with a user of the social network; generating, through a semantic operation, an interest network based on the user context information; and filtering, ranking or augmenting, using at least one processor executing stored program instructions, a retrieval of information related to the social network based on the interest network; wherein the interest network comprises concepts represented by a data structure associated with the concepts in the interest network. In another embodiment, the method further comprises representing the interest network as an interest graph. In yet another embodiment, the semantic operation is a synthesis operation or retrieval operation performed on a knowledge representation.

Claims

1. A computer-implemented method for performing a semantic operation on a social network, the method comprising:

receiving a social network user context associated with a user of the social network;

generating, through a semantic operation, an interest network based on the user context information; and

filtering, ranking or augmenting, using at least one processor executing stored program instructions, a retrieval of information related to the social network based on the interest network;

wherein the interest network comprises concepts represented by a data structure associated with the concepts in the interest network.

2. The computer-implemented method of claim 1, further comprising representing the interest network as an interest graph.

3. The computer-implemented method of claim 1, wherein the semantic operation is a synthesis operation or retrieval operation performed on a knowledge representation.

4. The computer-implemented method of claim 3, wherein the knowledge representation comprises a semantic network.

5. The computer-implemented method of claim 1, wherein the information is at least one of groups, jobs, discussions, news, products, SMS, applications or other users.

6. The computer-implemented method of claim 1, further comprising scoring the information related to the social network based on an occurrence of at least a portion of the interest network within the information.

7. A system for performing a semantic operation on a social network, the system adapted to:

receive a social network user context associated with a user of the social network;

generate, through a semantic operation, an interest network based on the user context information; and

filter, rank or augment, using at least one processor executing stored program instructions, a retrieval of information related to the social network based on the interest network;

wherein the interest network comprises concepts represented by a data structure associated with the concepts in the interest network.

8. The system of claim 7, wherein the system is further adapted to represent the interest network as an interest graph.

9. The system of claim 7, wherein the semantic operation is a synthesis operation or retrieval operation performed on a knowledge representation.

10. The system of claim 9, wherein the knowledge representation comprises a semantic network.

11. The system of claim 7, wherein the information is at least one of groups, jobs, discussions, news, products, SMS, applications or other users.

12. The system of claim 7, wherein the system is further adapted to score the information related to the social network based on an occurrence of at least a portion of the interest network within the information.

13. A non-transitory computer-readable medium storing computer code that when executed on a computer device adapts the device to perform a semantic operation on a social network, the computer-readable medium comprising:

code for receiving a social network user context associated with a user of the social network;

code for generating, through a semantic operation, an interest network based on the user context information; and

code for filtering, ranking or augmenting, using at least one processor executing stored program instructions, a retrieval of information related to the social network based on the interest network;

wherein the interest network comprises concepts represented by a data structure associated with the concepts in the interest network.

14. The computer-readable medium of claim 13, further comprising code for representing the interest network as an interest graph.

15. The computer-readable medium of claim 13, wherein the semantic operation is a synthesis operation or retrieval operation performed on a knowledge representation.

16. The computer-readable medium of claim 15, wherein the knowledge representation comprises a semantic network.

17. The computer-readable medium of claim 13, wherein the information is at least one of groups, jobs, discussions, news, products, SMS, applications or other users.

18. The computer-readable medium of claim 13, further comprising code for scoring the information related to the social network based on an occurrence of at least a portion of the interest network within the information.