SEMANTIC ACTIVITY AWARENESS

• US 20130006967A1
• Filed: 06/28/2011
• Published: 01/03/2013
• Est. Priority Date: 06/28/2011
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP AG (SAP SE)
• Inventors: Beringer, Joerg, Latzina, Markus, Shakeri, Cirrus, Herrmann, Thomas
• Granted Patent: US 8,595,227 B2
• Time in Patent Office: Days
• US Class Current: 707/722
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

A domain-specific task may be defined from a library of domain-independent task patterns. A task pattern may be selected based on inferences made from a user'"'"'s initial input, or just based on receiving sensor information through events or contextual information, or a combination of user input and sensor information. One or more elements of a selected task pattern may be defined in the context of a given domain to define the domain-specific task.

Claims

1. A method comprising operating a computer to perform steps of:

storing a plurality of task patterns, each task pattern comprising a plurality of action items; and

defining a domain-specific task, comprising steps of;

receiving initial input that represents domain-specific information;

identifying a plurality of candidates from among the task patterns based on the initial input;

receiving input that identifies a selected task pattern from among the candidates;

presenting information that identifies one or more action items that comprise the selected task pattern; and

receiving input that represents domain-specific action items relating to the given domain responsive to presentation of the one or more action items that comprise the selected task pattern,

wherein the domain-specific task is defined by the domain-specific action items.

2. The method of claim 1 wherein the number of action items that comprise the domain-specific task is less than the number of action items that comprise the selected task pattern.

3. The method of claim 1 wherein the task patterns comprise an actor and an article that is acted on by the actor, wherein action items which comprise the task pattern do have descriptive information that describe the actor or the article.

4. The method of claim 1 wherein the step of identifying candidates of task patterns includes making an inference on the initial input to identify one or more of the task patterns.

5. The method of claim 1 further comprising receiving information to define a new task pattern and storing the new task pattern with the plurality of task patterns.

6. The method of claim 1 further comprising storing the domain-specific task as a data model.

7. The method of claim 6 wherein the data model is represented in a knowledge representation language.

8. The method of claim 7 wherein the step of converting includes presenting information to the user relating to a translation step in the converting;

and receiving input that represents a disposition of the translation step.

9. The method of claim 1 further comprising:

receiving interaction information generated by interacting with a user;

identifying a first domain-specific task from among a plurality of domain-specific tasks based on the interaction information;

identifying one or more action items that comprise the first domain-specific task based on the interaction information; and

presenting the one or more action items to the user.

11. The system of claim 9 wherein the number of action items that comprise the domain-specific task is less than the number of action items that comprise the selected task pattern.

12. The system of claim 9 wherein each task pattern represents an activity that is not specific to any domain.

13. The system of claim 9 wherein the step of identifying candidates of task patterns includes making an inference on the initial input to identify one or more of the task patterns.

14. The system of claim 9 wherein the computer program code is further configured to cause the data processing to perform a step of receiving information to define a new task pattern and storing the new task pattern with the plurality of task patterns.

15. The system of claim 9 wherein the computer program code is further configured to cause the data processing to perform a steps of:

rendering the domain-specific task using a diagrammatic modeling language; and

storing the domain-specific task in a knowledge representation language.

16. The system of claim 9 wherein the computer program code is further configured to cause the data processing to perform steps of:

receiving interaction information generated by interacting with a user;

identifying a first domain-specific task from among a plurality of domain-specific tasks based on the interaction information;

identifying one or more action items that comprise the first domain-specific task based on the interaction information; and

presenting the one or more action items to the user.

10. A system comprising:

a data processing component;

computer program code; and

a first data store of task patterns, each task pattern comprising a plurality of action items,

wherein the computer program code is configured to cause the data processing component to define a domain-specific task by performing steps of;

receiving initial input that represents domain-specific information;

identifying a plurality of candidates from among the task patterns based on the initial input;

receiving input that identifies a selected task pattern from among the candidates;

presenting information that identifies one or more action items that comprise the selected task pattern; and

receiving input that represents domain-specific action items relating to the given domain responsive to presentation of the one or more action items that comprise the selected task pattern,

wherein the domain-specific task is defined by the domain-specific action items.

17. A tangible computer readable storage medium having stored thereon computer executable code, the computer executable code configured to cause a processing system to:

receive initial input that represents domain-specific information;

identify a plurality of candidates from among a plurality of stored task patterns based on the initial input;

receive input that identifies a selected task pattern from among the candidates;

present information that identifies one or more action items that comprise the selected task pattern; and

receive input that represents domain-specific action items relating to the given domain responsive to presentation of the one or more action items that comprise the selected task pattern,

wherein the domain-specific task is defined by the domain-specific action items.

18. The computer readable storage medium of claim 17 wherein the number of action items that comprise the domain-specific task is less than the number of action items that comprise the selected task pattern.

19. The computer readable storage medium of claim 17 wherein each task pattern represents an activity that is not specific to any domain.

20. The computer readable storage medium of claim 17 wherein the computer executable code is further configured to cause the processing system to:

store the domain-specific task as data model represented in a diagrammatic modeling language; and

convert the diagrammatic modeling language data model to produce a data model represented in a knowledge representation language.