SYSTEM AND METHOD TO EXTRACT STRUCTURED SEMANTIC MODEL FROM DOCUMENT

• US 20160019192A1
• Filed: 07/21/2014
• Published: 01/21/2016
• Est. Priority Date: 07/21/2014
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Moitra, Abha, Crapo, Andrew Walter
• Application Number:
  US14/336,578
• Publication Number:
  US 20160019192A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

According to some embodiments, a document associated with an artifact may be received, the document being at least partially unstructured. In an unstructured portion of the document, an extraction platform may automatically detect a first characteristic. The extraction platform may also automatically detect a second characteristic in the unstructured portion of the document. Using the first and second characteristics, a structured semantic model representing the artifact may automatically be created.

Claims

1. A method, comprising:

receiving a document associated with an artifact, the document being at least partially unstructured;

in an unstructured portion of the document, automatically detecting by an extraction platform a first characteristic;

in the unstructured portion of the document, automatically detecting by an extraction platform a second characteristic; and

using the first and second characteristics to automatically create a structured semantic model representing the artifact.

2. The method of claim 1, wherein the artifact is associated with at least one of:

(i) a physical apparatus, (ii) an organization, (iii) a business, (iv) a financial arrangement, (v) a government, (vi) a regulatory system.

3. The method of claim 1, wherein the characteristic is associated with a table.

4. The method of claim 3, wherein the characteristic is associated with at least one of:

(i) a table heading, and (ii) a table column.

5. The method of claim 1, wherein the characteristic is associated with at least one of:

(i) a table of contents, (ii) a chapter, (iii) a section, and (iv) a page number.

6. The method of claim 1, wherein the characteristic is associated with at least one of:

(i) a font size, (ii) a font attribute, and (iii) a font type.

7. The method of claim 1, wherein the characteristic is associated with at least one of:

(i) an indentation, (ii) a left margin, and (iii) a right margin.

8. The method of claim 1, wherein the document includes text and images and the characteristic is associated with a location of images within the document.

9. The method of claim 1, wherein the structured semantic model includes at least one of:

(i) systems and subsystems, (ii) classes and subclasses, (iii) sets and subsets, and (iv) components and subcomponents.

10. A non-transitory, computer-readable medium storing instructions that, when executed by a computer processor, cause the computer processor to perform a method, the method comprising:

receiving a document associated with a physical device, the document being at least partially unstructured;

in an unstructured portion of the document, automatically detecting by an extraction platform a first characteristic;

in the unstructured portion of the document, automatically detecting by an extraction platform a second characteristic; and

using the first and second characteristics to automatically create a structured semantic model representing the physical object.

11. The medium of claim 10, wherein the characteristic is associated with a table, and the characteristic is associated with at least one of:

(i) a table heading, and (ii) a table column.

12. The medium of claim 10, wherein the characteristic is associated with at least one of:

(i) a table of contents, (ii) a chapter, (iii) a section, and (iv) a page number.

13. The medium of claim 10, wherein the characteristic is associated with at least one of:

(i) a font size, (ii) a font attribute, (iii) a font type, (iv) an indentation, (v) a left margin, and (vi) a right margin.

14. The medium of claim 10, wherein the document includes text and images and the characteristic is associated with a location of images within the document.

15. The medium of claim 10, wherein the structured semantic model includes at least one of:

(i) systems and subsystems, (ii) classes and subclasses, (iii) sets and subsets, and (iv) components and subcomponents.

16. An extraction platform, comprising:

a communication port to receive a document associated with an artifact, the document being at least partially unstructured; and

an extraction engine coupled to the communication port and configured to;

(i) in an unstructured portion of the document, automatically detect a first characteristic, (ii) in the unstructured portion of the document, automatically detect a second characteristic, and (iii) use the first and second characteristics to automatically create a structured semantic model representing the artifact.

17. The extraction platform of claim 16, wherein the characteristic is associated with a table, and the characteristic is associated with at least one of:

(i) a table heading, and (ii) a table column.

18. The extraction platform of claim 16, wherein the characteristic is associated with at least one of:

(i) a table of contents, (ii) a chapter, (iii) a section, and (iv) a page number.

19. The extraction platform of claim 16, wherein the characteristic is associated with at least one of:

(i) a font size, (ii) a font attribute, (iii) a font type, (iv) an indentation, (v) a left margin, and (vi) a right margin.

20. The extraction platform of claim 16, wherein the document includes text and images and the characteristic is associated with a location of images within the document.

21. The extraction platform of claim 16, wherein the structured semantic model includes at least one of:

(i) systems and subsystems, (ii) classes and subclasses, (iii) sets and subsets, and (iv) components and subcomponents.