Method for determining expertise of users in a knowledge management system

• US 9,600,770 B1
• Filed: 02/13/2014
• Issued: 03/21/2017
• Est. Priority Date: 02/13/2014
• Status: Active Grant

• Current Assignee: Emergent Systems Corporation (Visual Defence, Inc.)
• Original Assignee: Emergent Systems Corporation (Visual Defence, Inc.)
• Inventors: Moffa, Jeffrey A.
• Primary Examiner(s): Starks, Wilbert L
• Assistant Examiner(s): Tran, Mai T
• Application Number:
  US14/179,987
• Time in Patent Office: 1,132 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition

Abstract

A method includes receiving information identifying a first knowledge element from a plurality of knowledge elements. The method also includes, for a plurality of similar knowledge elements, for each of a plurality of similar knowledge elements determining a first value based on actions taken by a user with respect to a respective knowledge element from the plurality of similar knowledge elements, determining a second value that represents similarity of the first knowledge element to the respective knowledge element, and determining an expertise component value for the respective knowledge element based at least in part on a multiplicative product of the first value and the second value. The method also includes determining an expertise value that represents the user'"'"'s expertise level relative to a subject matter described by the first knowledge element based on the expertise component values for the plurality of similar knowledge elements.

Claims

1. A method, comprising:

receiving, at one or more computing devices, information identifying a first knowledge element from a plurality of knowledge elements;

for each of a plurality of similar knowledge elements;

determining, by the one or more computing devices, a first value based on actions taken by a user with respect to a respective knowledge element from the plurality of similar knowledge elements,

determining a second value that represents similarity of the first knowledge element to the respective knowledge element, and

determining an expertise component value for the respective knowledge element based at least in part on a multiplicative product of the first value and the second value; and

determining, by the one or more computing devices, an expertise value that represents the user'"'"'s expertise level relative to a subject matter described by the first knowledge element based on the expertise component values for the plurality of similar knowledge elements.

2. The method of claim 1, wherein the knowledge elements include information encoded in a computer-interpretable form.

3. The method of claim 1, wherein the knowledge elements include substantive data and bibliographic data.

4. The method of claim 1, wherein the knowledge elements include bibliographic data, and determining the first value is performed using the bibliographic data from the similar knowledge elements.

5. The method of claim 4, wherein the bibliographic data for at least some of the similar knowledge elements includes information identifying the user.

6. The method of claim 1, further comprising:

identifying the similar knowledge elements based on a degree of similarity of the similar knowledge elements to the first knowledge element.

7. The method of claim 6, wherein the degree of similarity of the similar knowledge elements to the first knowledge element is determined using a semantic analysis function.

8. The method of claim 1, wherein a degree of similarity of the similar knowledge elements to the first knowledge element is determined by comparing text from the first knowledge element to text from each of the similar knowledge elements.