SYSTEM AND METHOD FOR USING A KNOWLEDGE REPRESENTATION TO PROVIDE INFORMATION BASED ON ENVIRONMENTAL INPUTS

• US 20120179642A1
• Filed: 12/30/2011
• Published: 07/12/2012
• Est. Priority Date: 05/01/2008
• Status: Active Grant

• Current Assignee: Primal Fusion Inc.
• Original Assignee: Primal Fusion Inc.
• Inventors: Sweeney, Peter, Hunt, Anne Jude, llyas, Ihab Francis, Khan, Naim
• Granted Patent: US 10,867,133 B2
• Time in Patent Office: Days
• US Class Current: 706/55
• 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 16/38 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

There is disclosed a system and method for using a knowledge representation to provide relevant information based on environmental inputs. In an embodiment, the system and method considers environmental information from members in a crowd to generate a pool of interests based on the semantic relevance concepts associated with those interests. The most prominent concepts of interest may then be the basis for presenting content to the crowd as a whole. In another embodiment, environmental inputs and other surrounding inputs are considered as a user context. The concepts may be identified as relevant from the environmental context and used to present information relevant to the user given his or her surroundings.

Claims

1. A computer-implemented method for using a knowledge representation to provide information based on an environmental input, the method comprising:

receiving at least one environmental input as a user-context information associated with a user;

obtaining at least one concept in the knowledge representation, wherein the at least one concept is obtained based on a semantic relevance of the at least one concept to the user-context information; and

based on the at least one concept, providing information to the user;

wherein a concept is represented by a data structure storing data associated with a knowledge representation.

2. The computer-implemented method of claim 1, wherein the knowledge representation comprises a semantic network and the at least one concept is represented by a data structure storing data associated with a node in the semantic network.

3. The computer-implemented method of claim 1, wherein obtaining the at least one concept comprises obtained the at least one other concept in the knowledge representation based at least in part on the structure of the knowledge representation.

4. The computer-implemented method of claim 1, further comprising utilizing one or more sensors to sense the at least one environmental inputs for the user.

5. The computer-implemented method of claim 4, wherein the one or more sensors comprise one or more in-range wireless devices associated with the user.

6. The computer-implemented method of claim 5, wherein the wireless devices comprise one or more of mobile phones, smart phones, touch pads, net books, laptops, or any other wireless device incorporating wireless technology and adapted to store information about one or more individuals in the crowd.

7. The computer-implemented method of claim 1, wherein the environmental input comprises at least one of audio data, video data, light data, geo-location data and/or motion data.

8. The computer-implemented method of claim 1, wherein the information comprises advertising or promotional content.

9. A system for using a knowledge representation to provide information based on an environmental input, the system adapted to:

receive at least one environmental input as a user-context information associated with a user;

obtain at least one concept in the knowledge representation, wherein the at least one concept is obtained based on a semantic relevance of the at least one concept to the user-context information; and

based on the at least one concept, provide information to the user;

wherein a concept is represented by a data structure storing data associated with a knowledge representation.

10. The system of claim 9, wherein the knowledge representation comprises a semantic network and the at least one concept is represented by a data structure storing data associated with a node in the semantic network.

11. The system of claim 9, wherein the system is further adapted to obtain the at least one other concept in the knowledge representation based at least in part on the structure of the knowledge representation.

12. The system of claim 9, wherein the system is further adapted to utilize one or more sensors to sense the at least one environmental inputs for the user.

13. The system of claim 12, wherein the one or more sensors comprise one or more in-range wireless devices associated with the user.

14. The system of claim 13, wherein the wireless devices comprise one or more of mobile phones, smart phones, touch pads, net books, laptops, or any other wireless device incorporating wireless technology and adapted to store information about one or more individuals in the crowd.

15. The system of claim 9, wherein the environmental input comprises at least one of audio data, video data, light data, geo-location data and/or motion data.

16. The system of claim 9, wherein the information comprises advertising or promotional content.

17. A non-transitory computer-readable medium storing computer code that when executed on a computer device adapts the device to provide information based on an environmental input, the computer-readable medium comprising:

code for receiving at least one environmental input as a user-context information associated with a user;

code for obtaining at least one concept in the knowledge representation, wherein the at least one concept is obtained based on a semantic relevance of the at least one concept to the user-context information; and

code for providing information to the user based on the at least one concept;

wherein a concept is represented by a data structure storing data associated with a knowledge representation.

18. The non-transitory computer-readable medium of claim 17, wherein the knowledge representation comprises a semantic network and the at least one concept is represented by a data structure storing data associated with a node in the semantic network.

19. The non-transitory computer-readable medium of claim 17, wherein the code for obtaining the at least one concept comprises instructions for obtaining the at least one other concept in the knowledge representation based at least in part on the structure of the knowledge representation.

20. The non-transitory computer-readable medium of claim 17, further comprising code for utilizing one or more sensors to sense the at least one environmental inputs for the user.