Semantic activity awareness

• US 8,595,227 B2
• Filed: 06/28/2011
• Issued: 11/26/2013
• 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
• Primary Examiner(s): Ehichioya, Fred I
• Assistant Examiner(s): BOWEN, RICHARD L
• Application Number:
  US13/171,203
• Publication Number:
  US 20130006967A1
• Time in Patent Office: 882 Days
• Field of Search: None
• US Class Current: 707/732
• 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, wherein the task pattern is domain-independent and has no specific context, is not applied to a specific application, and is not tied to any specific subject matter;

defining a domain-specific task from one of the task patterns, wherein the domain-specific task is associated with a context;

storing the domain-specific task for subsequent execution, wherein defining a domain-specific task comprises;

receiving initial input that represents domain-specific information;

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

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

for each action item among a plurality of action items that comprise the selected task pattern, receiving domain-specific action information and instantiating said each action item as a domain-specific action item using the received domain-specific action information; and

storing the domain-specific action items in a data store;

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.

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. 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 task pattern is domain-independent and has no specific context, is not applied to a specific application, and is not tied to any specific subject matter,

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

defining a domain-specific task from one of the task patterns, wherein the domain-specific task is associated with a context;

storing the domain-specific task for subsequent execution, wherein defining a domain-specific task comprises;

receiving initial input that represents domain-specific information;

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

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

for each action item among a plurality of action items that comprise the selected task pattern, receiving domain-specific action information and instantiating said each action item as a domain-specific action item using the received domain-specific action information; and

storing the domain-specific action items in a data store;

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.

9. The system of claim 8 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.

10. The system of claim 8 wherein each task pattern represents an activity that is not specific to any domain.

11. The system of claim 8 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.

12. The system of claim 8 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.

13. The system of claim 8 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.

14. A tangible non-transitory 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 candidate task patterns from among a plurality of stored task patterns based on the initial input, wherein the task patterns are domain-independent and have no specific context, are not applied to a specific application, and are not tied to any specific subject matter;

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

for each action item among a plurality of action items that comprise the selected task pattern, receive domain-specific action information and instantiating said each action item as a domain-specific action item using the received domain-specific action information; and

store the domain-specific action items in a data store as a plurality of domain specific tasks, wherein the domain-specific tasks are associated with a context;

receive interaction information generated by interacting with a user;

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

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

present the one or more action items to the user.

15. The non-transitory computer readable storage medium of claim 14 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.

16. The non-transitory computer readable storage medium of claim 14 wherein each task pattern represents an activity that is not specific to any domain.

17. The non-transitory computer readable storage medium of claim 14 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.