Expertise services platform

• US 9,805,373 B1
• Filed: 11/19/2002
• Issued: 10/31/2017
• Est. Priority Date: 11/19/2002
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: Epelman-Wang, Hernan, Gilmour, David, Goldberg, Jonathan Michael, Hamel, Andrew, Trown, Nicolas, Wang, Eric
• Primary Examiner(s): McCormick, Gabrielle
• Application Number:
  US10/300,088
• Time in Patent Office: 5,460 Days
• Field of Search: 705 1
• CPC Class Codes: G06Q 10/063112 Skill-based matching of a person or a group to a task
• CPC Class Codes: G06Q 10/101 Collaborative creation, e.g. joint development of products or services
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A method and system for knowledge management are disclosed. A plurality of profiles of entities are identified wherein the profiles comprise a shared characteristic. The contents of the plurality of profiles are added to a generated aggregate profile.

Claims

1. A computer-implemented method comprising:

receiving, by a computer, a request to generate an aggregate profile for a business department;

accessing, by the computer, a plurality of profiles in a machine-readable data storage medium in response to the request;

determining, by the computer, that one or more terms from text of the plurality of profiles do not correspond to a recognizable format that is recognizable by the computer, wherein the one or more terms from the text are associated with a separate entity of a plurality of entities;

converting, by the computer, the one or more terms to a format that is recognizable by the computer;

extracting, by the computer, the one or more converted terms from the text, wherein each profile of the plurality of profiles includes the one or more converted terms extracted from the text associated with the separate entity of the plurality of entities;

identifying, by the computer, a group of said profiles that all belong to the business department by examining an appropriate field of account property information associated with each of said profiles;

determining, by the computer, that the identified group has at least a predetermined minimum number of profiles that belong to the business department;

generating, by the computer, an aggregate profile to represent the identified group having at least a predetermined minimum number of profiles that belong to the business department, wherein the aggregate profile has a substantially same format as the profiles so that the aggregate profile includes one or more term sets each of which is a collection of terms extracted from text associated with the entities the aggregate profile represents, and wherein the term sets are groupings of related terms; and

creating, by the computer, a summary of an expertise represented by the aggregate profile, wherein the summary is created by dynamically clustering together terms of the aggregate profile'"'"'s one or more term sets that relate to the expertise.

2. The method of claim 1 wherein the entities are individuals.

3. The method of claim 1 wherein the entities are groups of individuals.

4. The method of claim 1 wherein the aggregate profile comprises a public term set.

5. The method of claim 1 wherein the aggregate profile comprises a private term set.

6. The method of claim 1 wherein the aggregate profile comprises a term set associated with a particular portion of a lexicon.

7. The method of claim 6 wherein the lexicon is a universal lexicon.

8. The method of claim 6 wherein the lexicon is an environment lexicon.

9. The method of claim 1 wherein the contents of the plurality of profiles include information descriptive of knowledge focus of the entities.

10. A method as recited in claim 1, wherein the aggregate profile further includes a degree of importance of at least one of the terms included in the aggregate profile.

11. The computer-implemented method of claim 1, wherein the request to generate the aggregate profile is received as an Application Programming Interface (API) method call from a host application.

12. The computer-implemented method of claim 1, wherein the format that is recognizable by the computer comprises at least one of an American Standard Code for Information Exchange (ASCII) format or a Hypertext Transfer Markup Language (HTML) format.

13. The computer-implemented method of claim 1, further comprising generating a profile of the plurality of profiles by:

identifying a term in a term database with a confidence value above a threshold;

determining if the profile contains a term subset associated with the term; and

if the profile contains the term subset associated with the term;

transferring the term to a profile database associated with the profile; and

adding the term to the term subset of the profile;

or

if the profile does not contain the term subset associated with the term;

creating the term subset for the profile;

transferring the term to the profile database associated with the profile; and

adding the term to the created term subset of the profile.

14. The computer-implemented method of claim 1, further comprising updating a profile of the plurality of profiles by:

identifying a term in a profile database associated with the profile; and

if a confidence level associated with the term has changed or if the term has not been used during a time interval;

transferring the term from the profile database associated with the profile to a term database; and

updating a search database to reflect the transfer.

15. A computer-implemented method comprising:

integrating, by a computer, an expertise services platform into a system environment for generating profiles for accounts in the system environment; and

providing, by the computer, the system environment with a set of application program interface routines for invoking profiling features of the expertise services platform, wherein the expertise services platform is configured to perform;

receiving, by the computer, a request to generate an aggregate profile for a business department;

accessing, by the computer, a plurality of profiles in a machine-readable data storage medium in response to the request;

determining, by the computer, that one or more terms from text of the plurality of profiles do not correspond to a recognizable format that is recognizable by the computer, wherein the one or more terms from the text are associated with a separate entity of a plurality of entities;

converting, by the computer, the one or more terms to a format that is recognizable by the computer;

extracting, by the computer, the one or more converted terms from the text, wherein each profile of the plurality of profiles includes the one or more converted terms extracted from the text associated with the separate entity of the plurality of entities;

identifying a group of said profiles that all belong to a business department by examining an appropriate field of account property information associated with each of said profiles;

determining, by the computer, that the identified group has at least a predetermined minimum number of profiles that belong to the business department;

generating, by the computer, an aggregate profile to represent the identified group having at least a predetermined minimum number of profiles that belong to the business department, wherein the aggregate profile has a substantially same format as the profiles so that the aggregate profile includes one or more term sets each of which is a collection of terms extracted from text associated with the entities the aggregate profile represents and wherein the term sets are groupings of related terms; and

creating, by the computer, a summary of an expertise represented by the aggregate profile, wherein the summary is created by dynamically clustering together terms of the aggregate profile'"'"'s one or more term sets that relate to the expertise.

16. The method of claim 15 wherein the profiling features include expertise profiling features.

17. The method of claim 15 wherein the profiling features include expertise search features.

18. The method of claim 15 wherein the profiling features include term set management.

19. The method of claim 15 wherein the profiling features include expertise services platform performance summary reporting.

20. The method of claim 15 wherein the accounts are accounts of entities.

21. The method of claim 20 wherein an entity is a person.

22. The method of claim 20 wherein an entity is a group of people.

23. The computer-implemented method of claim 15, wherein the machine-readable data storage medium resides on a remote computing system, and wherein the plurality of profiles are accessed utilizing at least one Internet Protocol.

24. The computer-implemented method of claim 23, wherein the at least one Internet Protocol comprises Transmission Control Protocol/Internet Protocol (TCP/IP) or Simple Mail Transfer Protocol/Internet Message Access Protocol (SMTP/IMAP).

25. The computer-implemented method of claim 15, wherein the expertise services platform is implemented using a virtual machine of the computer.

26. A processing system comprising:

a processor; and

a storage medium having stored therein instructions which, when executed by the processor, cause the processing system to perform operations comprising;

integrating an expertise services platform into a system environment for generating profiles for accounts in the system environment; and

providing the system environment with a set of application program interface routines for invoking profiling features of the expertise services platform, wherein the expertise services platform is configured to perform;

receiving a request to generate an aggregate profile for a business department;

accessing a plurality of profiles in a machine-readable data storage medium in response to the request;

determining that one or more terms from text of the plurality of profiles do not correspond to a recognizable format that is recognizable by the processor, wherein the one or more terms from the text are associated with a separate entity of a plurality of entities;

converting the one or more terms to a format that is recognizable by the processor;

extracting the one or more converted terms from the text, wherein each profile of the plurality of profiles includes the one or more converted terms extracted from the text associated with the separate entity of the plurality of entities;

identifying a group of said profiles that all belong to a business department by

examining an appropriate field of account property information associated with each of said profiles;

determining that the identified group has at least a predetermined minimum number of profiles that belong to the business department;

generating an aggregate profile to represent the identified group having at least a predetermined minimum number of profiles that belong to the business department, wherein the aggregate profile has a substantially same format as the profiles so that the aggregate profile includes one or more term sets each of which is a collection of terms extracted from text associated with the entities the aggregate profile represents and wherein the term sets are groupings of related terms; and

creating a summary of an expertise represented by the aggregate profile, wherein the summary is created by dynamically clustering together terms of the aggregate profile'"'"'s one or more term sets that relate to the expertise.

27. The system of claim 26 wherein the profiling features include expertise profiling features.

28. The system of claim 26 wherein the accounts are accounts of entities.

29. The system of claim 28 wherein an entity is a person.

30. The system of claim 28 wherein an entity is a group of people.

31. The processing system of claim 26, wherein the expertise services platform is implemented using a plurality of virtual machines, and wherein different components of the expertise services platform are configured to be implemented by different virtual machines of the plurality of virtual machines.

32. The processing system of claim 31, wherein different components of the expertise services platform are configured to be implemented in parallel.

33. The processing system of claim 31, wherein different components of the expertise services platform are configured to distribute a processing load of the expertise services platform.

34. A processing system comprising:

a processor; and

a storage medium having stored therein instructions which, when executed by the processor, cause the processing system to perform a process comprising;

receiving a request to generate an aggregate profile for a business department;

accessing a plurality of profiles in a machine-readable data storage medium in response to the request;

determining that one or more terms from text of the plurality of profiles do not correspond to a recognizable format that is recognizable by the processor, wherein the one or more terms from the text are associated with a separate entity of a plurality of entities;

converting the one or more terms to a format that is recognizable by the processor;

extracting the one or more converted terms from the text, wherein each profile of the plurality of profiles includes the one or more converted terms extracted from the text associated with the separate entity of the plurality of entities;

identifying a group of said profiles that all belong to a business department by examining an appropriate field of account property information associated with each of said profiles;

determining that the identified group has at least a predetermined minimum number of profiles that belong to the business department;

generating an aggregate profile to represent the identified group having at least a predetermined minimum number of profiles that belong to the business department, wherein the aggregate profile has a substantially same format as the profiles so that the aggregate profile includes one or more term sets each of which is a collection of terms extracted from text associated with the entities the aggregate profile represents and wherein the term sets are groupings of related terms; and

creating a summary of an expertise represented by the aggregate profile, wherein the summary is created by dynamically clustering together terms of the aggregate profile'"'"'s one or more term sets that relate to the expertise.

35. A processing system as recited in claim 34, wherein the aggregate profile further includes a degree of importance of at least one of the terms included in the aggregate profile.

36. The processing system of claim 34, wherein the text is received in an email message or in a Hypertext Transfer Markup Language (HTML) document.

37. The processing system of claim 36, wherein information that identifies the plurality of profiles is attached to the email message.