Extended collaboration event monitoring system

• US 9,177,267 B2
• Filed: 08/31/2011
• Issued: 11/03/2015
• Est. Priority Date: 08/31/2011
• Status: Active Grant

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Kass, Alex, Yeh, Peter Zei-Chan, Buller, Jordan K., Hamilton, Mary Elizabeth, Chaw, Shaw-Yi
• Primary Examiner(s): Chaki, Kakali
• Assistant Examiner(s): PELLETT, DANIEL T
• Application Number:
  US13/222,906
• Publication Number:
  US 20130054509A1
• Time in Patent Office: 1,525 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06Q 10/00 Administration; Management

Abstract

An extended collaboration event monitoring system monitors users'"'"' interactions with computer software applications and detects and extracts events. The system intelligently determines whether the extracted events trigger undetected events or other action items. The system provides the extracted events to a social networking client that translates the extracted events and returns the translated data to the system. The system publishes the translated data to a social networking/collaboration interface embedded into the interface of the computer software application being utilized by one of the users. The system not only publishes the translated data corresponding to a user'"'"'s interactions with the computer software application to that user'"'"'s interface, but also publishes the user'"'"'s interactions with the computer software application to interfaces corresponding to other project team members as well.

Claims

1. An extended collaboration event monitoring system, comprising:

a computer processor; and

a memory in communication with the computer processor, the memory comprising;

instructions that, when executed, cause the computer processor to;

extend a computer software application to embed a collaboration interface into an interface generated by the computer software application;

monitor a user'"'"'s interactions with the computer software application;

identify an event based on the user'"'"'s interactions with the computer software application;

generate event data associated with the event, the event data comprising a structure that identifies a type of action taken by a user, a user that has performed the event, a document associated with the event and a project associated with the event;

infer, using an inference engine executed by the computer processor and based on the event data associated with the event, a set of related events from one or more semantic models comprising additional events related to the event by a set of semantic relationships;

wherein inferring the set of related events comprises analyzing, using the inference engine, structured, semantic representation of the event to infer the set of related events;

wherein the set of related events includes a stream of events associated with the event and includes an event that was not detected by the event, an event implied by the event, events that are enabled or triggered as a result of the event, or a combination thereof;

wherein the semantic models comprise people models, domain specific models, process and plan models, and work product models;

infer, using the inference engine and based on the event data associated with the event, event data associated with the related events from the one or more semantic models;

provide the event data to a social networking system;

obtain from the social networking system the event data translated into human-readable form; and

publish the event data associated with the event and the event data associated with the related events to the collaboration interface embedded into the interface generated by the computer software application, wherein the event data published to the collaboration interface includes the translated event data.

2. The extended collaboration event monitoring system of claim 1, wherein the instructions, when executed further cause the computer processor to:

obtain from the social networking system event data associated with a second user'"'"'s interactions with a second computer software application;

publish the event data associated with the second user'"'"'s interactions with the second computer software application to the collaboration interface.

3. The extended collaboration event monitoring system of claim 1, wherein identifying the event comprises comparing the user'"'"'s interactions to a project plan template that defines a project plan.

4. The extended collaboration event monitoring system of claim 1, wherein the analyzed user'"'"'s interactions with the computer software application comprise revisions by the user to a document, and wherein identifying an event comprises:

analyzing the user'"'"'s revisions to the document;

determining whether the user'"'"'s revisions mentions at least one key word in a set of key words stored in a project plan template;

based on determining that the user'"'"'s revisions mentions at least one key word in the set of key words, identifying each mention of the at least one key word as an event.

5. The extended collaboration event monitoring system of claim 1, wherein identifying an event comprises comparing the user'"'"'s actions with predetermined heuristic data and determining, based on the comparison, whether the user'"'"'s interactions correspond to an event.

6. The extended collaboration event monitoring system of claim 5, wherein the analyzed user'"'"'s interactions with the computer software application comprise revisions by the user to a document, and wherein identifying an event further comprises:

analyzing the user'"'"'s revisions to the document;

determine, based on the user'"'"'s revisions, whether the document is complete or if a section of the document is complete;

based on determining that the document is complete, identifying the document completion as an event; and

based on determining that a section of the document is complete, identifying the section completion as an event.

7. The extended collaboration event monitoring system of claim 1, wherein identifying an event comprises:

applying a natural language parser to text entered by the user to generate a parse tree or syntactic representation of the text;

mapping the parse tree or syntactic representation to corresponding semantic relationships a model;

determining, based on the mapping, whether the user'"'"'s interactions correspond to an event.

8. The extended collaboration event monitoring system of claim 1, further comprising a second computer processor in communication with the computer processor, the second computer processor configured to:

determine whether the event triggers an action item to-be-performed;

based on determining that the event triggers an action item to-be-performed;

generate action item data associated with the action item;

provide the action item event data to the social networking system;

obtain translated action item event data from the social networking system; and

provide the translated action item event data to the computer processor,

wherein the instructions, when executed, further cause the computer processor to publish the translated action item event data to the collaboration interface.

22. The system of claim 1, wherein the instructions, when executed, further cause the computer processor to:

create a new event not comprised by the one or more semantic models; and

add the new event to the one or more semantic models.

9. A collaboration event monitoring method, comprising:

extending a computer software application to embed a collaboration interface into an interface generated by the computer software application and rendered on a display device;

monitoring a user'"'"'s interactions with a document within the computer software application;

identifying an event based on the user'"'"'s interactions with the document;

generating, using a computer processor, event data associated with the event, wherein the event data comprises a structure that identifies a type of action taken by a user, a user that has performed the event, a document associated with the event and a project associated with the event;

publishing the event data to the collaboration interface embedded into the interface generated by the computer software application;

identifying a set of related events implied by the event comprising;

inferring, using an inference engine and based on the event data associated with the event, the set of related events from one or more semantic models comprising events related to the event by a set of semantic relationships; and

wherein inferring the set of related events comprises analyzing, using the inference engine, structured, semantic representation of the event to infer the set of related events;

wherein the set of related events includes a stream of events associated with the event and includes an event that was not detected by the event, an event implied by the event, events that are enabled or triggered as a result of the event, or a combination thereof;

wherein the semantic models comprise people models, domain specific models, process and plan models, and work product models;

inferring, using the inference engine and based on the event data associated with the event, event data associated with the related events from the one or more semantic models;

generating event data associated with the related events; and

provide the event data to a social networking system; and

obtain from the social networking system the event data translated into human-readable form; and

publishing the event data associated with the event and the event data associated with the related events to the collaboration interface embedded into the interface generated by the computer software application, wherein the event data published to the collaboration interface includes the translated event data.

10. The method of claim 9, wherein the analyzed user'"'"'s interactions with a document within the computer software application comprise revisions by the user to the document, and wherein identifying an event comprises:

analyzing the user'"'"'s revisions to the document;

determining whether the user'"'"'s revisions mentions at least one key word in a set of key words stored in a project plan template;

based on determining that the user'"'"'s revisions mentions at least one key word in the set of key words, identifying each mention of the at least one key word as an event.

11. The method of claim 9, wherein identifying an event comprises comparing the user'"'"'s actions with predetermined heuristic data and determining, based on the comparison, whether the user'"'"'s interactions correspond to an event.

12. The method of claim 11, wherein the analyzed user'"'"'s interactions with a document within the computer software application comprise revisions by the user to the document, and wherein identifying an event further comprises:

analyzing the user'"'"'s revisions to the document;

determine, based on the user'"'"'s revisions, whether the document is complete or if a section of the document is complete;

based on determining that the document is complete, identifying the document completion as an event; and

based on determining that a section of the document is complete, identifying the section completion as an event.

13. The method of claim 9, wherein identifying an event comprises:

applying a natural language parser to text entered by the user to generate a parse tree or syntactic representation of the text;

mapping the parse tree or syntactic representation to corresponding semantic relationships a model;

determining, based on the mapping, whether the user'"'"'s interactions correspond to an event.

14. A product, comprising:

a computer-readable medium comprising instructions that, when executed, cause a computer processor to;

identify a first event based on a first user'"'"'s interactions with a first computer software application;

identify a second event based on a second user'"'"'s interactions with a second computer software application

obtain first event data associated with the first event and second event data associated with the second event, wherein each event data comprises a structure that identifies a type of action taken by a user, a user that has performed the event, a document associated with the event and a project associated with the event;

infer, and based on the first event data, a set of related events from one or more semantic models comprising additional events related to the first event by a set of semantic relationships,

wherein inferring the set of related event comprises analyzing, using the inference engine, structured, semantic representation of the event to infer the set of related events;

wherein the set of related events includes a stream of events associated with the event and includes an event that was not detected by the event, an event implied by the event, events that are enabled or triggered as a result of the event, or a combination thereof;

wherein the semantic models comprise people models, domain specific models, process and plan models, and work product models; and

infer event data associated with the related events from the one or more semantic models;

provide the first and the second event data, and the event data associated with the related events, to a social networking system; and

obtain from the social networking system the first and the second event data, and the event data associated with the related events, translated into human-readable form;

publish the translated first and the second event data, and the translated event data associated with the related events to a first collaboration interface that is embedded into an interface generated by the first computer software application and to a second collaboration interface that is embedded into an interface generated by the second computer software application.

15. The product of claim 14, wherein the instructions, when executed further cause the computer processor to:

obtain from the social networking system event data associated with a third user'"'"'s interactions with a third computer software application;

publish the event data associated with the third user'"'"'s interactions with the third computer software application to first collaboration interface, to the second collaboration interface, and to a third collaboration interface embedded into an interface generated by the third computer software application.

16. The product of claim 14, wherein identifying the event comprises comparing the user'"'"'s interactions to a project plan template that defines a project plan.

17. The product of claim 14, wherein identifying the first event comprises:

analyze the first user'"'"'s revisions to a document;

determine whether the first user'"'"'s revisions mentions at least one key word in a set of key words stored in a project plan template;

based on determining that the first user'"'"'s revisions mentions at least one key word in the set of key words, identifying a mention of the at least one key word as the first event.

18. The product of claim 14, wherein the first and the second user are part of a collaboration group comprising multiple users.

19. The product of claim 14, wherein identifying the first event comprises comparing the user'"'"'s actions with predetermined heuristic data and determining, based on the comparison, whether the user'"'"'s interactions correspond to an event.

20. The product of claim 19, wherein identifying the first event further comprises:

analyzing the user'"'"'s revisions to a document;

determine, based on the user'"'"'s revisions, whether the document is complete or if a section of the document is complete;

based on determining that the document is complete, identifying the document completion as an event; and

based on determining that a section of the document is complete, identifying the section completion as an event.

21. The product of claim 14, wherein identifying the first event comprises:

applying a natural language parser to text entered by the user to generate a parse tree or syntactic representation of the text;

mapping the parse tree or syntactic representation to corresponding semantic relationships a model;

determining, based on the mapping, whether the user'"'"'s interactions correspond to an event.

23. An extended collaboration event monitoring system, comprising:

a computer processor; and

a memory in communication with the computer processor, the memory comprising;

instructions that, when executed, cause the computer processor to;

extend a computer software application to embed a collaboration interface into an interface generated by the computer software application;

monitor a user'"'"'s revisions of a document within the computer software application;

identify an event based on the user'"'"'s revisions of the document;

generate event data associated with the event, wherein the event data comprises a structure that identifies a type of action taken by a user, a user that has performed the event, a document associated with the event and a project associated with the event;

infer, using an inference engine executed by the computer processor and based on the event data associated with the event, a set of related events from one or more semantic models comprising additional events related to the event by a set of semantic relationships,

wherein inferring the set of related event comprises analyzing, using the inference engine, structured, semantic representation of the event to infer the set of related events;

wherein the set of related events includes a stream of events associated with the event and includes an event that was not detected by the event, an event implied by the event, events that are enabled or triggered as a result of the event, or a combination thereof;

wherein the semantic models comprise people models, domain specific models, process and plan models, and work product models;

infer, using the inference engine and based on the event data associated with the event, event data associated with the related events from the one or more semantic models;

provide the event data to a social networking system;

obtain from the social networking system the event data translated into human-readable form; and

publish the event data associated with the event and the event data associated with the related events to the collaboration interface embedded into the interface generated by the computer software application, wherein the event data published to the collaboration interface includes the translated event data.