METHODS AND SYSTEMS FOR KNOWLEDGE DISCOVERY

• US 20140089246A1
• Filed: 12/02/2013
• Published: 03/27/2014
• Est. Priority Date: 09/23/2009
• Status: Abandoned Application

• Current Assignee: Bob J.A. Schijvenaars, Edwin Adriaansen
• Original Assignee: Edwin Adriaansen
• Inventors: ADRIAANSEN, Edwin, SCHIJVENAARS, Bob J.A.
• Application Number:
  US14/094,682
• Publication Number:
  US 20140089246A1
• Time in Patent Office: Days
• US Class Current: 706/46
• CPC Class Codes: G06F 16/313 Selection or weighting of terms for indexing
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation

Abstract

Provided are methods and systems for knowledge discovery utilizing knowledge profiles.

Claims

1. A computer-based method for textual analysis comprising:

storing, by one or more computer processors, a fingerprint for each of a plurality of documents; and

combining, by one or more computer processors, fingerprints having a relationship.

2. The method of claim 1, further comprising the step of generating, by one or more computer processors, a fingerprint for at least one of the plurality of documents.

3. The method of claim 1, wherein the fingerprint is a list of concepts and their associated relevance weights.

4. The method of claim 1, wherein combining fingerprints having a relationship comprises averaging the fingerprints.

5. The method of claim 3, wherein combining fingerprints having a relationship comprises:

taking a square of the associated relevance weights;

averaging the squares of the weights, and

taking the root of the averages.

6. The method of claim 1, wherein the relationship comprises at least one of:

stems from the same author, published in the same publication, contains the same concept, or stems from the same organization.

7. A system for textual analysis comprising:

a memory configured for storing text data; and

a processor, coupled to the memory, configured for performing steps comprising,

storing a fingerprint for each of a plurality of documents; and

combining fingerprints having a relationship.

8. The system of claim 7, wherein the processor is further configured to generate a fingerprint for at least one of the plurality of documents.

9. The system of claim 7, wherein the fingerprint is a list of concepts and their associated relevance weights.

10. The system of claim 7, wherein combining fingerprints having a relationship comprises averaging the fingerprints.

11. The system of claim 9, wherein combining fingerprints having a relationship comprises:

taking a square of the associated relevance weights;

averaging the squares of the weights, and

taking the root of the averages.

12. The system of claim 7, wherein the relationship comprises at least one of:

stems from the same author, published in the same publication, contains the same concept, or stems from the same organization.

13. A non-transitory computer-readable storage medium with computer executable instructions embodied thereon for textual analysis comprising:

storing a fingerprint for each of a plurality of documents; and

combining fingerprints having a relationship.

14. The computer-readable storage medium of claim 13 further comprising generating a fingerprint for at least one of the plurality of documents.

15. The computer-readable storage medium of claim 13, wherein the fingerprint is a list of concepts and their associated relevance weights.

16. The computer-readable storage medium of claim 13, wherein combining fingerprints having a relationship comprises averaging the fingerprints.

17. The computer-readable storage medium of claim 15, wherein combining fingerprints having a relationship comprises:

taking a square of the associated relevance weights;

averaging the squares of the weights, and

taking the root of the averages.

18. The computer-readable storage medium of claim 13, wherein the relationship comprises at least one of:

stems from the same author, published in the same publication, contains the same concept, or stems from the same organization.