Method and system for automated knowledge extraction and organization

• US 20070078889A1
• Filed: 10/02/2006
• Published: 04/05/2007
• Est. Priority Date: 10/04/2005
• Status: Abandoned Application

• Current Assignee: Ronald Hoskinson
• Original Assignee: Ronald Hoskinson
• Inventors: Hoskinson, Ronald
• Application Number:
  US11/540,628
• Publication Number:
  US 20070078889A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/35 Clustering; Classification

Abstract

A method and system for automated knowledge extraction and organization, which uses information retrieval services to identify text documents related to a specific topic, to identify and extract trends and patterns from the identified documents, and to transform those trends and patterns into an understandable, useful and organized information resource. An information extraction engine extracts concepts and associated text passages from the identified text documents. A clustering engine organizes the most significant concepts in a hierarchical taxonomy. A hypertext knowledge base generator generates a knowledge base by organizing the extracted concepts and associated text passages according to the hierarchical taxonomy.

Claims

1. A method for automated knowledge extraction and organization, the method comprising:

providing a list of relevant documents resulting from a search of unstructured text information resources;

extracting concepts from the relevant documents;

organizing the extracted concepts in a taxonomy; and

building a knowledge base of the extracted concepts;

wherein the knowledge base is organized based on the taxonomy.

2. The method of claim 1, wherein extracting concepts from the relevant documents further comprises:

extracting associated text passages from the relevant documents.

3. The method of claim 1, wherein extracting concepts from the relevant documents further comprises:

extracting keywords from the text of the relevant documents; and

compiling a keyword index.

4. The method of claim 3, further comprising:

extracting concepts from the relevant documents using the keyword index.

5. The method of claim 1, wherein the taxonomy is built from the bottom-up.

6. The method of claim 1, wherein the taxonomy is built from the top-down.

7. The method of claim 1, wherein the taxonomy is built via concept clustering.

8. The method of claim 1, wherein building a knowledge base of the extracted concepts further comprises:

creating a default page for the knowledge base.

16. The system of claim 1, wherein the means for building a knowledge base of the extracted concepts further comprises:

means for creating a default page for the knowledge base.

9. A system for automated knowledge extraction and organization, the system comprising:

means for providing a list of relevant documents resulting from a search of unstructured text information resources;

means for extracting concepts from the relevant documents;

means for organizing the extracted concepts in a taxonomy; and

means for building a knowledge base of the extracted concepts;

wherein the knowledge base is organized based on the taxonomy.

10. The system of claim 9, wherein the means for extracting concepts from the relevant documents further comprises:

means for extracting associated text passages from the relevant documents.

11. The system of claim 9, wherein the means for extracting concepts from the relevant documents further comprises:

means for extracting keywords from the text of the relevant documents; and

means for compiling a keyword index.

12. The system of claim 11, further comprising:

means for extracting concepts from the relevant documents using the keyword index.

15. The system of claim 9, wherein the taxonomy is built via concept clustering.

17. A computer program product comprising a computer usable medium having control logic stored therein for causing a computer to automatically extract and organize knowledge, the control logic comprising:

first computer readable program code means for providing a list of relevant documents resulting from a search of unstructured text information resources;

second computer readable program code means for extracting concepts from the relevant documents;

third computer readable program code means for organizing the extracted concepts in a taxonomy; and

fourth computer readable program code means for building a knowledge base of the extracted concepts;

wherein the knowledge base is organized based on the taxonomy.

18. The computer program product of claim 17, wherein the second computer readable program code means for extracting concepts from the relevant documents further comprises:

fifth computer readable program code means for extracting associated text passages from the relevant documents.

19. The computer program product of claim 17, wherein the second computer readable program code means for extracting concepts from the relevant documents further comprises:

sixth computer readable program code means for extracting keywords from the text of the relevant documents; and

seventh computer readable program code means for compiling a keyword index.

20. The computer program product of claim 17, further comprising:

eighth computer readable program code means for extracting concepts from the relevant documents using the keyword index.