CONTEXT PLATFORM FRAMEWORK FOR AGGREGATION, ANALYSIS AND USE OF CONTEXTUAL INFORMATION

• US 20090083768A1
• Filed: 09/20/2007
• Published: 03/26/2009
• Est. Priority Date: 09/20/2007
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Memmott, James L., HATALKAR, ATUL N., Sandage, David A.
• Application Number:
  US11/858,872
• Publication Number:
  US 20090083768A1
• Time in Patent Office: Days
• US Class Current: 719/328
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/125 involving control of end-device applications over a network

Abstract

A context platform framework for aggregation, analysis and use of contextual information is described. An embodiment of a system includes an aggregator to receive context information from a plurality of providers via a provider application program interface (API), where the aggregator to aggregate the received context information. The system also includes an analyzer to analyze the received context information and the aggregated context information to generate computed context information. Then, based on the aggregated context information, the computed context information and one or more analysis rules, at least one of the aggregator and the analyzer to trigger an action for at least one client of a plurality of clients, where communication with the plurality of clients is accomplished via a client API. Other embodiments are described and claimed.

Claims

1. A method, comprising:

receiving context information from a plurality of providers via a provider application program interface (API);

aggregating the received context information;

analyzing the received context information and aggregated context information to generate computed context information; and

based on the aggregated context information, the computed context information and one or more analysis rules, triggering an action for at least one client of a plurality of clients, wherein communication with the plurality of clients is accomplished via a client API.

2. The method of claim 1, wherein each of the plurality of clients and each of the plurality of providers is domain-specific.

3. The method of claim 1, wherein the analysis rules may be customized by the plurality of clients.

4. The method of claim 1, wherein aggregating the received context information decouples the received context information from its source.

5. The method of claim 1, wherein the received context information is aggregated based on criteria supplied by the plurality of clients.

6. The method of claim 1, wherein each of the plurality of providers is one of an environmental sensor, a platform sensor, a physiological sensor and a software source.

7. The method of claim 1, wherein the received context information, the aggregated context information and the computed context information are processed according to a context schema.

8. The method of claim 7, wherein the context schema comprises a context identifier class, a context item class, a context group class, a context data class and one or more associations between the context identifier class, the context item class, the context group class and the context data class.

9. The method of claim 1, wherein the plurality of clients may request context information based on a timestamp and a location-stamp.

10. The method of claim 1, further comprising:

triggering an action based on one or more control policy rules.

11. The method of claim 10, wherein the plurality of clients may customize the one or more control policy rules.

12. A system, comprising:

an aggregator to receive context information from a plurality of providers via a provider application program interface (API) and wherein the aggregator to aggregate the received context information; and

an analyzer to analyze the received context information and the aggregated context information to generate computed context information,

wherein based on the aggregated context information, the computed context information and one or more analysis rules, at least one of the aggregator and the analyzer to trigger an action for at least one client of a plurality of clients, wherein communication with the plurality of clients is accomplished via a client API.

13. The system of claim 12, wherein each of the plurality of clients and each of the plurality of providers is domain-specific.

14. The system of claim 12, wherein the analysis rules may be customized by the plurality of clients.

15. The system of claim 12, wherein aggregating the received context information decouples the received context information from its source.

16. The system of claim 12, wherein the received context information is aggregated based on criteria supplied by the plurality of clients.

17. The system of claim 12, wherein each of the plurality of providers is one of an environmental sensor, a platform sensor, a physiological sensor and a software source.

18. The system of claim 12, wherein the received context information, the aggregated context information and the computed context information are processed according to a context schema.

19. The system of claim 18, wherein the context schema comprises a context identifier class, a context item class, a context group class, a context data class and one or more associations between the context identifier class, the context item class, the context group class and the context data class.

20. The system of claim 12, wherein the plurality of clients to request context information based on a timestamp and a location-stamp.

21. The system of claim 12, further comprising:

a policy engine to trigger an action based on one or more control policy rules.

22. The system of claim 21, wherein the plurality of clients may customize the one or more control policy rules.

23. A machine-readable storage medium containing instructions which, when executed by a processing system, cause the processing system to perform a method, the method comprising:

receiving context information from a plurality of providers via a provider application program interface (API);

aggregating the received context information;

analyzing the received context information and aggregated context information to generate computed context information; and

based on the aggregated context information, the computed context information and one or more analysis rules, triggering an action for at least one client of a plurality of clients, wherein communication with the plurality of clients is accomplished via a client API.

24. The machine-readable storage medium of claim 23, wherein each of the plurality of clients and each of the plurality of providers is domain-specific.

25. The machine-readable storage medium of claim 23, wherein the analysis rules may be customized by the plurality of clients.

26. The machine-readable storage medium of claim 23, wherein aggregating the received context information decouples the received context information from its source.

27. The machine-readable storage medium of claim 23, wherein the received context information is aggregated based on criteria supplied by the plurality of clients.

28. The machine-readable storage medium of claim 23, wherein each of the plurality of providers is one of an environmental sensor, a platform sensor, a physiological sensor and a software source.

29. The machine-readable storage medium of claim 23, wherein the received context information, the aggregated context information and the computed context information are processed according to a context schema.

30. The machine-readable storage medium of claim 29, wherein the context schema comprises a context identifier class, a context item class, a context group class, a context data class and one or more associations between the context identifier class, the context item class, the context group class and the context data class.

31. The machine-readable storage medium of claim 23, wherein the plurality of clients may request context information based on a timestamp and a location-stamp.

32. The machine-readable storage medium of claim 23, further comprising:

triggering an action based on one or more control policy rules.

33. The machine-readable storage medium claim 32, wherein the plurality of clients may customize the one or more control policy rules.