Method and system for constructing a knowledge profile of a user having unrestricted and restricted access portions according to respective levels of confidence of content of the portions

• US 6,115,709 A
• Filed: 09/18/1998
• Issued: 09/05/2000
• Est. Priority Date: 09/18/1998
• Status: Expired due to Term

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Tacit Software, Inc. (Oracle Corporation)
• Inventors: Gilmour, David L., Wang, Hua-Wen
• Primary Examiner(s): Alam, Hosain T.
• Application Number:
  US09/157,092
• Time in Patent Office: 718 Days
• Field of Search: 707/9, 707/10, 707/1-2, 707/104, 709/217-219, 705/14, 705/26, 705/35-37, 713/200-202
• US Class Current: 706/50
• CPC Class Codes: G06F 16/30 of unstructured textual data document management systems G06F16/93
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 21/31 User authentication
• CPC Class Codes: G06F 21/6245 Protecting personal data, e.g. for financial or medical purposes
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: H04L 63/10 for controlling access to devices or network resources
• CPC Class Codes: H04L 63/102 Entity profiles
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: Y10S 707/99935 Query augmenting and refining, e.g. inexact access
• CPC Class Codes: Y10S 707/99936 Pattern matching access
• CPC Class Codes: Y10S 707/99939 Privileged access

Abstract

A method of constructing a user knowledge profile, having distinct public and private portions with different access restrictions, requires assigning a confidence level to content within an electronic document. The electronic document is associated with a user, such as for example the author of the document. The content may be potentially indicative of a knowledge base of the user. The content is then stored in either the public or private portion of the user knowledge profile dependent upon whether the confidence level exceeds, or falls below, a predetermined threshold level. The public portion of the user knowledge profile is freely accessible by third parties, whereas the private portion has restricted access.

Claims

1. A computer-implemented method of constructing a user knowledge profile, the method including:

automatically assigning a confidence level to content within an electronic document associated with a first user, the content being potentially indicative of a user knowledge base of the first user; and

storing the content in either a first or a second portion of a user knowledge profile of the first user according to the assigned confidence level,

wherein the first and the second portions of the user knowledge profile of the first user have different access restrictions with respect to a second user.

2. The method of claim 1 wherein access to the first portion of the user knowledge profile by the second user is unrestricted and the storing comprises storing the content in the first portion if the confidence level exceeds a predetermined threshold.

3. The method of claim 2 wherein access to the second portion of the user knowledge profile by the second user is restricted and the storing comprises storing the content in the second portion if the confidence level is below the predetermined threshold.

4. The method of claim 1 including designating the first portion of the user knowledge profile of the first user as a public portion and designating the second portion of the user knowledge profile of the first user as a private portion.

5. The method of claim 1 including determining whether the electronic document is indicated by the first user as being for use in construction of the user knowledge profile.

6. The method of claim 5 wherein the determining comprises examining a flag associated with the electronic document, the flag marking the electronic document as being for use in the construction of the user knowledge profile of the first user.

7. The method of claim 5 wherein the determining comprises determining whether the electronic document is addressed to an entity that performs the construction of the user knowledge profile of the first user.

8. The method of claim 1 including determining whether the electronic document indicates an attachment as being for use in the construction of the user knowledge profile of the first user.

9. The method of claim 1 wherein automatically assigning the confidence level comprises identifying a term within the content.

10. The method of claim 9 wherein automatically assigning the confidence level includes counting a number of words within the term.

11. The method of claim 9 wherein automatically assigning the confidence level includes identifying parts of speech comprising the term.

12. The method of claim 9 wherein automatically assigning the confidence level includes comparing the term to a collection of lexicon terms.

13. The method of claim 9 wherein automatically assigning the confidence level includes determining a frequency with which the term occurs within the electronic document associated with the first user.

14. The method of claim 13 wherein the determining of the frequency comprises determining a percentage value indicating a frequency of occurrence of the term relative to a total number of terms within the electronic document associated with the first user.

15. The method of claim 9 wherein automatically assigning the confidence level includes determining a frequency with which the term occurs within a plurality of electronic documents associated with the first user.

16. The method of claim 9 wherein the term comprises any one of a group consisting of a grammar term, a noun phrase and a word.

17. The method of claim 1 wherein automatically assigning the confidence level includes analyzing addressee information associated with the electronic document.

18. The method of claim 17 wherein the analyzing of the addressee information includes identification of a level of seniority of an addressee of the electronic document.

19. The method of claim 17 wherein the analyzing of the addressee information includes determining an average level of seniority of all addressees of the electronic document.

20. The method of claim 17 wherein the analyzing of the addressee information includes determining a level of seniority of a most senior addressee of the electronic document.

21. The method of claim 18 including generating a document weight term utilizing the level of seniority of the addressee of the electronic document.

22. The method of claim 21 including identifying a number of addressees of the electronic document.

23. The method of claim 22 including generating a document weight term utilizing the number of addressees of the electronic document.

24. The method of claim 17 wherein the analyzing of the addressee information includes identification of an organizational group of at least one addressee of the electronic document.

25. The method of claim 23 including generating a document weight term utilizing the organizational group of the at least one addressee of the electronic document.

26. The method of claim 1 wherein the storing of the content includes notifying the first user of the content, prior to storing the content in either the first or second portion of the user knowledge profile of the first user.

27. The method of claim 26 wherein the notifying includes providing the first user with an option of storing the content in either the first or second portion of the user knowledge profile of the first user.

28. The method of claim 26 wherein notifying the first user includes determining whether the confidence level automatically assigned to the content exceeds a predetermined threshold, and notifying the first user of the content when the confidence level exceeds the predetermined threshold.

29. The method of claim 1 wherein the electronic document comprises an electronic mail message generated by the first user.

30. The method of claim 1 wherein the electronic document comprises an electronic document attached to an electronic mail message transmitted by the first user.

31. The method of claim 1 wherein the electronic document comprises a database inquiry generated by the first user.

32. The method of claim 1 wherein the electronic document comprises any one of a group consisting of a user profile document and a list of bookmarks, folders and directories generated by the first use.

33. A data processing system for constructing a user knowledge profile, the system comprising:

confidence logic to examine an electronic document, associated with a first user, and to assign a confidence level to content within the electronic document, the content being potentially indicative of a user knowledge base of the first user; and

a profiler to store the content in either the first or second portion of the user knowledge profile of the first user according to the assigned confidence level,

wherein the first and the second portions of the user knowledge profile of the first user have different access restrictions with respect to a second user.

34. The system of claim 33 wherein access to the first portion of the user knowledge profile by the second user is unrestricted, and the profiler stores the content in the first portion if the confidence level exceeds a predetermined threshold.

35. The system of claim 34 wherein access to the second portion of the user knowledge profile by the second user is restricted, and the profiler stores the content in the second portion if the confidence level is below the predetermined threshold.

36. The system of claim 33 including a client to propagate the electronic document to the confidence logic.

37. The system of claim 33 wherein the client is an e-mail client program.

38. The system of claim 33 wherein the confidence logic determines whether the electronic document is indicated by the first user as being for use in the construction of the user knowledge profile.

39. The system of claim 38 wherein the confidence logic examines a flag associated with the electronic document, the flag marking the electronic document as being for use in the construction of the user knowledge profile of the first user.

40. The system of claim 38 wherein the confidence logic determines whether the electronic document is addressed to an entity that performs the construction of the user knowledge profile of the first user.

41. The system of claim 33 wherein the confidence logic determines whether the electronic document indicates an attachment as being for use in the construction of the user knowledge profile of the first user.

42. The system of claim 33 wherein the confidence logic identifies a term within the content.

43. The system of claim 42 wherein the confidence logic counts a number of words within the term.

44. The system of claim 42 wherein the confidence logic identifies parts of speech comprising the term.

45. The system of claim 42 wherein the confidence logic compares the term to a collection of lexicon terms.

46. The system of claim 42 wherein the confidence logic determines a frequency with which the term occurs within the electronic document associated with the first user.

47. The system of claim 46 wherein the confidence logic determines a percentage value indicating a frequency of occurrence of the term relative to a total number of terms within the electronic document associated with the first user.

48. The system of claim 42 wherein the confidence logic determines a frequency with which the term occurs within a plurality of electronic documents associated with the first user.

49. The system of claim 42 wherein the term comprises any one of a group consisting of a grammar term, a noun phrase and a word.

50. The system of claim 33 wherein the confidence logic analyzes addressee information associated with the electronic document.

51. The system of claim 50 wherein the confidence logic identifies a level of seniority of an addressee of the electronic document.

52. The system of claim 50 wherein the confidence logic determines an average level of seniority of all addressees of the electronic document.

53. The system of claim 50 wherein the confidence logic determines a level of seniority of a most senior addressee of the electronic document.

54. The system of claim 50 wherein the confidence logic generates a document weight term utilizing the level of seniority of the addressee of the electronic document.

55. The system of claim 33 wherein the confidence logic identifies the number of addressees of the electronic document.

56. The system of claim 55 wherein the confidence logic generates a document weight term utilizing the number of addressees of the electronic document.

57. The system of claim 33 wherein the confidence logic identifies an organizational group of at least one addressee of the electronic document.

58. The system of claim 57 wherein the confidence logic generates a document weight term utilizing the organizational group of the at least one addressee of the electronic document.

59. The system of claim 33 including a notifier that notifies the first user of the content, prior to the content being stored in either the first or the second portion of the user profile of the first user.

60. The system of claim 59 wherein the notifier provides the first user with an option of storing the content in either the first or the second portion of the user knowledge profile of the first user.

61. The system of claim 59 wherein the notifier determines whether the confidence level automatically assigned to the content by the confidence logic exceeds a predetermined threshold, and notifies the first user of the content when the confidence level exceeds the predetermined threshold.

62. The system of claim 33 wherein the electronic document comprises an electronic mail generated by the first user.

63. The system of claim 33 wherein the electronic document comprises a document attached to an electronic mail message transmitted by the user.

64. The system of claim 33 wherein the electronic document comprises a database inquiry generated by the first user.

65. The system of claim 33 wherein the electronic document comprises any one of a group consisting of a user profile document and a list of bookmarks, folders, and directories generated by the first user.

66. A data processing system for constructing a user knowledge profile, the system comprising:

confidence means for examining an electronic document, associated with a first user, and for assigning a confidence level to content within the electronic document, the content being potentially indicative of a user knowledge base of the first user; and

profiling means for storing the content in either the first or the second portion of the user knowledge profile of the first user according to the assigned confidence level,

wherein the first and the second portions of the user knowledge profile of the first user have different access restrictions with respect to a second user.

67. A computer-readable medium for use by a computer for constructing a user knowledge profile storing a sequence of instructions that, when executed by a computer, cause the computer to perform the steps of:

automatically assigning a confidence level to content within an electronic document associated with a first user, the content being potentially indicative of a user knowledge base of the first user; and

storing the content in either the first or second portion of a user knowledge profile of the first user according to the assigned confidence level,

wherein the first and the second portions of the user knowledge profile of the first user have different access restrictions with respect to a second user.