Context-based data pre-fetching and notification for mobile applications

• US 9,009,292 B2
• Filed: 07/28/2008
• Issued: 04/14/2015
• Est. Priority Date: 07/30/2007
• Status: Active Grant

• Current Assignee: Sybase Incorporated (SAP SE)
• Original Assignee: Sybase Incorporated (SAP SE)
• Inventors: Ho, Michael M.
• Primary Examiner(s): Avellino, Joseph E
• Assistant Examiner(s): CONAWAY, JAMES E
• Application Number:
  US12/180,649
• Publication Number:
  US 20090036102A1
• Time in Patent Office: 2,451 Days
• Field of Search: 709/217, 709/224, 718/108
• US Class Current: 709/224
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/56 Provisioning of proxy services store-and-forward switching systems in data switching networks H04L12/54
• CPC Class Codes: H04L 67/5681 Pre-fetching or pre-delivering data based on network characteristics

Abstract

Methods, systems, and computer program products for context-based data pre-fetching and notification for applications are described herein. In an embodiment, the method operates by creating a context model that includes context variables and events. The method populates context variables based upon the context of an application and instantiates a context based upon the context model. The method determines whether the context is active or inactive and infers a likely set of data needed by the application. The method executes a data selection function to generate a dataset for the application. In an embodiment, the system includes a module to create and maintain a context model. The system includes modules to: populate context variables within the context model; calculate a dataset for the application; maintain an inference engine; subscribe to changes in the context variables; and generate notifications including a dataset with associated metadata that assists with display of the dataset.

Claims

1. A computer-implemented method for context-based data pre-fetching for an application, the method comprising:

creating a context model that defines a domain of situational information associated with an application, wherein the context model comprises one or more context variables and context events, and wherein each of the context variables is associated with an update frequency that controls how frequently chances in the context variables occur;

populating one or more of the context variables within the context model based on a state of the application;

instantiating a context for a specific mobile device and its user, based on the context model, to monitor one or more aspects of the situational information for the specific mobile device and its user;

determining whether the instantiated context is active or inactive;

subscribing to the context events of the instantiated context, wherein the context events are associated with changes in the context variables corresponding to the situational information for the specific mobile device and its user, upon a determination that the instantiated context is active;

identifying a likely set of data needed by the application based on values of one or more of the context variables and the context events of the instantiated context; and

executing a data selection function to generate a dataset for the application, based on the identified likely set of data needed by the application, wherein the dataset is unmodifiable by the application.

2. The method of claim 1, wherein the context events comprise notification events, input events, and state events.

3. The method of claim 1, further comprising:

executing a notification creation function to generate a notification for the application, wherein the notification comprises at least a non-modifiable dataset and associated metadata describing data contained within the non-modifiable dataset.

4. The method of claim 3, wherein the notification further comprises a variable indicating whether the notification is actionable or informational.

5. The method of claim 3, wherein executing the notification creation function further comprises packaging the notification with metadata that assists with display of data contained within the non-modifiable dataset, and wherein the packaging is performed by the application.

6. The method of claim 1, wherein the populating step further comprises populating at least one of the context variables with values representing situational information of the application.

7. The method of claim 6, wherein the situational information includes information about at least one user using the application.

8. The method of claim 1, wherein the context model is shared by multiple applications executing on one or more computational devices.

9. The method of claim 8, wherein the one or more computational devices include one or more mobile devices.

10. The method of claim 9, wherein the situational information includes information about the one or more mobile devices executing the application.

11. The method of claim 1, wherein the executing step further comprises packaging the dataset with metadata describing data contained within the dataset.

12. The method of claim 11, wherein the executing step further comprises packaging, by the application, the dataset with metadata that assists with display of data contained within the dataset.

13. The method of claim 1, wherein the executing step further comprises including at least a unique identifier in the dataset.

14. The method of claim 13, wherein the executing step further comprises including at least a timestamp, a dataset name, and a dataset version in the unique identifier in the dataset.

15. The method of claim 1, wherein the executing step further comprises including structured and unstructured data in the dataset.

16. The method of claim 9, wherein each of the one or more mobile devices includes at least a client side container configured to interpret the dataset.

17. The method of claim 16, wherein the client side container displays the dataset in a manner appropriate for the application.

18. The method of claim 16, wherein the client side container is aware of an environment that the application is executing within.

19. The method of claim 18, wherein the environment includes characteristics of at least one of the one or more mobile devices executing the application.

20. The method of claim 18, wherein the client side container can render data within the dataset in a fashion that is most suitable for a mobile device executing the application.

21. The method of claim 8, further comprising:

acknowledging the dataset generated during the executing step on the one or more computational devices.

22. The method of claim 8, further comprising:

discarding the dataset, on the one or more computational devices after a predetermined time.

23. The method of claim 22, wherein the predetermined time is based on a policy on the one or more computational devices.

24. The method of claim 8, wherein users of the one or more computational devices subscribe to the one or more context variables.

25. The method of claim 1, wherein the dataset can be reviewed and deleted by a user of the application.

26. A system configured to perform context-based data pre-fetching and notification for an application, comprising:

a context modeling module configured to create and maintain a context model that defines a domain of situational information associated with an application, wherein the context model comprises at least one or more context variables and context events, and wherein each of the context variables is associated with an update frequency that controls how frequently changes in the context variables occur;

a context variable module configured to populate and update one or more of the context variables within the context model based on a state of the application;

a data selection module configured to determine a dataset for the application, wherein the determination is based on values of one or more of the context variables and the context events of at least one instantiated context that is based on the context model, and wherein the dataset is unmodifiable by the application when the application;

an inference module configured to maintain an inference engine used by the data selection module to identify a likely set of data needed by the application;

an event engine module configured to subscribe to the context events of the instantiated context, wherein the context events are associated with changes in the context variables corresponding to the situational information for the specific mobile device and its user; and

a notification module configured to generate a notification for the application, wherein the notification comprises at least a non-modifiable dataset and associated metadata describing data contained within the non-modifiable dataset

wherein at least one of the modules is implemented using one or more computer processors.

27. The system of claim 26, wherein the notification module is further configured to populate a variable indicating whether the notification is actionable or informational.

28. The system of claim 26, wherein the notification module is further configured to package the notification with metadata that assists with display of data contained within the notification.

29. A computer readable storage device having instructions stored thereon, execution of which, by a processor, causes the processor to perform operations for context-based data pre-fetching and notification for an application, the operations comprising:

creating and maintaining a context model that defines a domain of situational information associated with an application, wherein the context model comprises one or more context variables and context events, and wherein each of the context variables is associated with an update frequency that controls how frequently changes in the context values occur;

populating and updating one or more of the context variables within the context model based on a state of the application;

instantiating a context for a specific mobile device and its user, based on the context model, to monitor one or more aspects of the situational information for the specific mobile device and its user;

subscribing to the context events of the instantiated context, wherein the context events are associated with changes in the context variables corresponding to the situational information for the specific mobile device and its user, upon a determination that the instantiated context is active;

determining a dataset for the application, wherein the determining is based on values of at least one of the context variables and the context events of the instantiated context, wherein the dataset is unmodifiable by the application; and

maintaining an inference engine used by the determining step to arrive at a likely set of data needed by the application based on values of at least one context variable of the instantiated context.

30. The computer readable storage device of claim 29, the operations further comprising:

executing a notification creation function to generate a notification for the application, wherein the notification comprises at least a non-modifiable dataset and associated metadata describing data contained within the non-modifiable dataset.

31. The computer readable storage device of claim 30, wherein the notification further comprises a variable indicating whether the notification is actionable or informational.

32. The computer readable storage device of claim 30, wherein executing the notification creation function further comprises packaging the notification with metadata that assists with display of data contained within the non-modifiable dataset, and wherein the packaging is performed by the application.