SYSTEM FOR SUPPORTING COORDINATION OF RESOURCES FOR EVENTS IN AN ORGANIZATION

• US 20100153160A1
• Filed: 12/02/2009
• Published: 06/17/2010
• Est. Priority Date: 12/12/2008
• Status: Abandoned Application

• Current Assignee: Smart Technologies ULC (Hon Hai Precision Industry Co., Ltd.)
• Original Assignee: Smart Technologies ULC (Hon Hai Precision Industry Co., Ltd.)
• Inventors: SMITH, CHRISTIAN, BEZEMER, RICHARD, BANERJEE, SHYMMON, FAROOQ, UMAR
• Application Number:
  US12/629,319
• Publication Number:
  US 20100153160A1
• Time in Patent Office: Days
• US Class Current: 705/8
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/103 Workflow collaboration or project management
• CPC Class Codes: G06Q 10/109 Time management, e.g. calendars, reminders, meetings or time accounting

Abstract

A system and method for supporting coordination of resources for events in an organization includes a knowledge component storing a resource-utilization model, the resource-utilization model comprising at least one ontology, each ontology comprising a respective schema and data stored according to the schema; a knowledge acquisition component adapting the resource-utilization model in real-time in response to receiving data from various sources about resource utilization in the organization; a domain reasoner adapting the resource-utilization model based on contents of a modifiable set of rules applied by the organization; and a query endpoint receiving queries about resources for events and responding to the queries based on the resource-utilization model.

Claims

1. A system for supporting coordination of resources for events in an organization, comprising:

a knowledge component storing a resource-utilization model, the resource-utilization model comprising at least one ontology, each ontology comprising a respective schema and data stored according to the schema;

a knowledge acquisition component adapting the resource-utilization model in real-time in response to receiving data from various sources about resource utilization in the organization;

a domain reasoner adapting the resource-utilization model based on contents of a modifiable set of rules applied by the organization; and

a query endpoint receiving queries about resources for events and responding to the queries based on the resource-utilization model.

2. The system of claim 1, wherein the resource-utilization model comprises a meeting ontology storing meeting-related concepts and their interrelationships and a scheduling ontology storing scheduling-related concepts and their interrelationships.

3. The system of claim 2, wherein the meeting-related concepts comprise meetings and meeting-related resources.

4. The system of claim 3, wherein the meeting-related resources comprise at least one of rooms, people, equipment, software, multimedia resources, and networking resources.

5. The system of claim 4, wherein the equipment comprises at least one of one or more computers, a display screen, a projection system, and an interactive input system.

6. The system of claim 4, wherein the software comprises at least one of a voice bridge, a data link, and one or more meeting server.

7. The system of claim 2, wherein the scheduling-related concepts comprise schedules of meetings and of meeting-related resources.

8. The system of claim 7, wherein the schedules comprise blocks of time.

9. The system of claim 1, wherein the various sources of knowledge comprise at least one structured source of knowledge.

10. The system of claim 9, wherein the knowledge acquisition component has access to a predefined structure of the at least one structured source of knowledge thereby to acquire knowledge.

11. The system of claim 1, wherein the various sources of knowledge comprise at least one unstructured source of knowledge.

12. The system of claim 11, wherein the knowledge acquisition component comprises a learning component capable of inferring knowledge from the at least one unstructured source of knowledge thereby to acquire knowledge.

13. The system of claim 12, wherein the learning component executes one or more of:

a machine learning algorithm, a natural language processing algorithm, a decision tree, and a neural network, for inferring knowledge from the at least one unstructured source of knowledge.

14. The system of claim 12, wherein the at least one unstructured source of knowledge comprises at least one of email files, meeting agenda files, and meeting minutes files.

15. The system of claim 1, wherein the knowledge component comprises at least one sensor identifying the location of one or more people associated with the organization.

16. The system of claim 15, wherein the at least one sensor comprises at least one RFID sensor at a respective location sensing the presence of one or more people at the location.

17. The system of claim 1, wherein the knowledge component comprise one or more software agents.

18. The system of claim 1, further comprising a meeting management application comprising:

a user interface;

a scheduler receiving user requests to schedule respective meetings via the user interface and in response generating a response to the respective user request based on the resource-utilization model.

19. The system of claim 18, wherein the scheduler comprises:

an algorithmic logic module embodying computer readable program code for generic scheduler functions; and

a rules logic module storing modifiable descriptive logic rules for organization-specific scheduler functions.

20. The system of claim 18, wherein the meeting management application further comprises a specialized data store for storing a copy of a subset of data stored in the knowledge component, wherein the scheduler generates a response to a respective user request based on the data stored in the specialized data store.

21. The system of claim 18, wherein the scheduler generates a response to a respective user request based on the data stored in the knowledge component.

22. The system of claim 19, wherein the meeting management application further comprises a learning engine modifying the descriptive logic rules in the rules logic module based on at least one of patterns of use of the meeting management application and adaptations to the resource-utilization model.

23. The system of claim 1, wherein the resource-utilization model comprises a resource reservation ontology storing resource reservation related concepts and their interrelationships.

24. The system of claim 23, wherein the resource reservation concepts comprise finite resources, people, and reservation times for the finite resources by the people.

25. The system of claim 24, wherein the finite resources are at least one of books and equipment.

26. The system of claim 25, wherein equipment comprises at least one machine.

27. The system of claim 1, wherein the knowledge component comprises at least one triplestore into which the data is stored.

28. The system of claim 18, wherein the specialized data store is a triplestore.

29. The system of claim 28, wherein the knowledge acquisition component transforms received data into triples format for storing in the triplestore.

30. A method for supporting coordination of resources for events in an organization, comprising:

providing a resource-utilization model, the resource-utilization model comprising at least one ontology, each ontology comprising a respective schema and data stored according to the schema;

adapting the resource-utilization model in real-time in response to receiving data from various sources about resource utilization in the organization;

adapting the resource-utilization model based on contents of a modifiable set of rules applied by the organization;

receiving queries about resources for events; and

responding to the queries based on the resource-utilization model.

31. The method of claim 30, further comprising:

providing in the resource-utilization model a meeting ontology that stores meeting-related concepts and their interrelationships, and a scheduling ontology storing scheduling-related concepts and their interrelationships.

32. The method of claim 31, wherein the meeting-related concepts comprise meetings and meeting-related resources.

33. The method of claim 32, wherein the meeting-related resources comprise at least one of rooms, people, equipment, software, multimedia resources, and networking resources.

34. The method of claim 33, wherein the equipment comprises at least one of one or more computers, a display screen, a projection system, and an interactive input system.

35. The method of claim 33, wherein the software comprises at least one of a voice bridge, a data link, and one or more meeting server.

36. The method of claim 31, wherein the scheduling-related concepts comprise schedules of meetings and of meeting-related resources.

37. The method of claim 36, wherein the schedules comprise blocks of time.

38. The method of claim 30, wherein the various sources of knowledge comprise at least one structured source of knowledge.

39. The method of claim 38, wherein the knowledge acquisition component has access to a predefined structure of the at least one structured source of knowledge thereby to acquire knowledge.

40. The method of claim 30, wherein the various sources of knowledge comprise at least one unstructured source of knowledge.

41. The method of claim 40, wherein the knowledge acquisition component comprises a learning component capable of inferring knowledge from the at least one unstructured source of knowledge thereby to acquire knowledge.

42. The method of claim 41, wherein the learning component executes one or more of:

a machine learning algorithm, a natural language processing algorithm, a decision tree, and a neural network, for inferring knowledge from the at least one unstructured source of knowledge.

43. The method of claim 41, wherein the at least one unstructured source of knowledge comprises at least one of email files, meeting agenda files, and meeting minutes files.

44. The method of claim 30, further comprising providing to the knowledge component at least one sensor identifying the location of one or more people associated with the organization.

45. The method of claim 44, wherein the at least one sensor comprises at least one RFID sensor at a respective location sensing the presence of one or more people at the location.

46. The method of claim 30, wherein the knowledge component comprise one or more software agents.

47. The method of claim 30, further comprising providing a meeting management application comprising:

a user interface;

a scheduler for receiving user requests to schedule respective meetings via the user interface and in response generating a response to the respective user request based on the resource-utilization model.

48. The method of claim 47, wherein the scheduler comprises:

an algorithmic logic module embodying computer readable program code for generic scheduler functions; and

a rules logic module storing modifiable descriptive logic rules for organization-specific scheduler functions.

49. The method of claim 47, wherein the meeting management application further comprises a specialized data store for storing a copy of a subset of data stored in the knowledge component, wherein the scheduler generates a response to a respective user request based on the data stored in the specialized data store.

50. The method of claim 47, wherein the scheduler generates a response to a respective user request based on the data stored in the knowledge component.

51. The method of claim 48, further comprising providing a learning engine modifying the descriptive logic rules in the rules logic module based on at least one of patterns of use of the meeting management application and adaptations to the resource-utilization model.

52. The method of claim 30, wherein the resource-utilization model comprises a resource reservation ontology storing resource reservation related concepts and their interrelationships.

53. The method of claim 52, wherein the resource reservation concepts comprise finite resources, people, and reservation times for the finite resources by the people.

54. The method of claim 53, wherein the finite resources are at least one of books and equipment.

55. The method of claim 54, wherein equipment comprises at least one machine.

56. The method of claim 30, wherein the knowledge component comprises at least one triplestore into which the data is stored.

57. The method of claim 47, wherein the specialized data store is a triplestore.

58. The method of claim 57, wherein the knowledge acquisition component transforms received data into triples format for storing in the triplestore.

59. A computer readable medium embodying a computer program for supporting coordination of resources for events in an organization, the computer program comprising:

computer program code providing a resource-utilization model, the resource-utilization model comprising at least one ontology, each ontology comprising a respective schema and data stored according to the schema;

computer program code adapting the resource-utilization model in real-time in response to receiving data from various sources about resource utilization in the organization;

computer program code adapting the resource-utilization model based on contents of a modifiable set of rules applied by the organization;

computer program code receiving queries about resources for events; and

computer program code responding to the queries based on the resource-utilization model.