SYSTEMS AND METHODS FOR CREATING STRUCTURED DATA

• US 20110066659A1
• Filed: 09/09/2010
• Published: 03/17/2011
• Est. Priority Date: 09/15/2009
• Status: Active Grant

• Current Assignee: Ilya Geller
• Original Assignee: Ilya Geller
• Inventors: GELLER, Ilya
• Granted Patent: US 8,447,789 B2
• Time in Patent Office: Days
• US Class Current: 707/803
• CPC Class Codes: G06F 40/237 Lexical tools

Abstract

A computer system implemented method of creating and using structured data from a textual input, comprising: providing a table for structured data, receiving at least one textual input, dividing at least a portion of the textual input into paragraphs, for each of the paragraphs, creating a profile by extracting predicative phrases from the paragraph, for each of the predicative phrases, extracting a noun from the predicative phrase, for each extracted noun, receiving a textual definition from the dictionary corresponding to the noun, dividing the textual definition for each noun into definition paragraphs, and creating a profile for each definition paragraph by extracting predicative phrases of the definition paragraph, comparing the profile of the definition paragraphs to the profile of the paragraph containing the noun based upon an algorithm for compatibility; and adding the predicative phrase containing the noun into the table for structured data if the algorithm is satisfied.

Claims

1. A computer system implemented method of creating and using structured data from a textual input, the method comprising:

providing a table for structured data;

receiving at least one textual input;

dividing at least a portion of the textual input into one or more paragraphs;

for each of the paragraphs, creating a profile by extracting one or more predicative phrases from the paragraph;

for each of the predicative phrases, extracting a noun from the predicative phrase;

for each extracted noun,

receiving a textual definition from the dictionary corresponding to the noun of the predicative phrase;

dividing the textual definition for each noun into one or more definition paragraphs, and creating a profile for each definition paragraph by extracting one or more predicative phrases of the definition paragraph;

comparing the profile of each definition paragraph to the profile of the paragraph containing the respective noun based upon an algorithm for compatibility; and

adding the predicative phrase containing the noun into the table for structured data if the algorithm for compatibility is satisfied.

2. The method of claim 1, wherein the step of receiving a textual definition includes the steps of establishing a connection to a dictionary and extracting the textual definition from the dictionary.

3. The method of claim 1, further comprising the step of dividing the text into chapters.

4. The method of claim 1, wherein the step of comparing further includes comparing the profile of each definition paragraph to the profiles of paragraphs surrounding the paragraph containing the respective noun.

5. The method of claim 4, wherein the profiles of the paragraphs surrounding the paragraph containing the respective nouns are created from the paragraph preceding and the paragraph following the paragraph containing the noun if that paragraph is not the first or last in the chapter;

wherein the profiles of the paragraphs surrounding the paragraph are the two paragraphs following the paragraph containing the noun if that paragraph is the first in the chapter;

wherein the profiles of the paragraphs surrounding the paragraph are the two paragraphs preceding the paragraph containing the noun if that paragraph is the last in the chapter.

6. The method of claim 5, wherein each paragraph is at least 200 words long.

7. The method of claim 6, wherein the textual input is selected from the group consisting of book, periodical, electronic mail, short message service message, or website.

8. The method of claim 3, wherein each predicative phrase is a combination of a noun, verb, adjective, and an article.

9. A computer readable medium containing a program which performs the functions of providing a table for structured data;

receiving at least one textual input;

dividing at least a portion of the textual input into one or more chapters;

for each of the chapters, dividing into one or more paragraphs;

for each of the paragraphs, creating a profile by extracting one or more predicative phrases of the paragraph;

for each of the predicative phrases, establishing a connection to a dictionary and extracting textual definition from the dictionary corresponding to each noun in the predicative phrases;

dividing each textual definition for the respective nouns into one or more definition paragraphs;

creating a profile for each definition paragraph by extracting one or more predicative phrases of the definition paragraph;

comparing the profiles of each definition paragraph to the profile of the paragraph containing the noun corresponding to the definition paragraph and its surrounding paragraphs based upon an algorithm for compatibility; and

adding the predicative phrases containing the noun into the database for structured data if the formula for compatibility is satisfied.

10. The computer readable medium of claim 9 wherein the following functions are performed during the extraction of the textual definition if none is found in the dictionary:

remove the ending from the noun that is not found in the dictionary;

extract the textual definition from the dictionary for the noun without the ending;

if no definition is found for the noun without the ending, determine the part of speech of the noun without the ending;

treat the paragraph including the noun that is not found in the dictionary as the textual definition of the noun without the ending for the entire textual input.

11. The computer readable medium of claim 9, wherein the dictionary is selected from the group consisting of a locally stored dictionary, a remotely-stored dictionary, a locally-stored encyclopedia, and a remotely-stored encyclopedia.

12. The computer readable medium of claim 9 wherein each paragraph contains at least 200 words.

13. The computer readable medium of claim 9, wherein dividing into paragraphs is based upon an indicator selected from a group consisting of a tab, a hard return, a dash.

14. The computer readable medium of claim 9, wherein dividing by chapters is performed based upon chapter headings.

15. The computer readable medium of claim 9, wherein the predicate phrases include at least a noun and a verb and an adjective.