Confidence-based conversion of language to data systems and methods

• US 20050210016A1
• Filed: 03/18/2005
• Published: 09/22/2005
• Est. Priority Date: 03/18/2004
• Status: Abandoned Application

• Current Assignee: ZD Acquisition LLC
• Original Assignee: Zenodata Corporation
• Inventors: Brunecky, Martin
• Application Number:
  US11/083,562
• Publication Number:
  US 20050210016A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/93 Document management systems

Abstract

A method of converting a text string into one or more data elements includes initializing a parsing engine with one or more rules and parsing the string by applying the rule to the string. Application of the rule to the string produces a quantitative result. The method also includes comparing the quantitative result to a standard, based on the comparison, identifying at least one data element in the string, posting the data elements to a searchable database, and in response to a data request, displaying at least one data element to a user.

Claims

1. A method of converting a text string into one or more data elements, comprising:

initializing a parsing engine with one or more rules;

parsing the string by applying the rule to the string, wherein application of the rule to the string produces a quantitative result;

comparing the quantitative result to a standard;

based on the comparison, identifying at least one data element in the string;

posting the data elements to a searchable database; and

in response to a data request, displaying at least one data element to a user.

2. The method of claim 1, wherein the text string relates to a portion of a recorded document relating to a property transfer.

3. The method of claim 1, wherein at least one of the one or more rules relates to a proper name, and wherein the quantitative result comprises the likelihood that the proper name is a last name according to a source.

4. The method of claim 3, wherein the source comprises census information.

5. The method of claim 1, wherein at least one of the one or more rules relates to a common misspelling and wherein the quantitative result comprises the degree of match between a word in the string and a known word.

6. The method of claim 1, further comprising based on the comparison, sending at least a portion of the string to an operator for conflict resolution.

7. The method of claim 1, further comprising receiving the text string from a context-based parsing process.

8. A system for converting a text string into one or more data elements, comprising:

a processor; and

memory, wherein the memory comprises instructions executable by the processor for;

initializing a parsing engine with one or more rules;

parsing the string by applying the rule to the string, wherein application of the rule to the string produces a quantitative result;

comparing the quantitative result to a standard;

based on the comparison, identifying at least one data element in the string;

posting the data elements to a searchable database; and

in response to a data request, displaying at least one data element to a user.

9. The system of claim 8, wherein the text string relates to a portion of a recorded document relating to a property transfer.

10. The system of claim 8, wherein at least one of the one or more rules relates to a proper name, and wherein the quantitative result comprises the likelihood that the proper name is a last name according to a source.

11. The system of claim 10, wherein the source comprises census information.

12. The system of claim 8, wherein at least one of the one or more rules relates to a common misspelling and wherein the quantitative result comprises the degree of match between a word in the string and a known word.

13. The system of claim 8, wherein the instructions further comprise instructions for, based on the comparison, sending at least a portion of the string to an operator for conflict resolution.

14. The system of claim 8, wherein the instructions further comprise instructions for receiving the text string from a context-based parsing process.

15. A computer-readable medium having stored thereon computer-executable instructions for converting a text string into one or more data elements, the instructions comprising:

instructions for initializing a parsing engine with one or more rules;

instructions for parsing the string by applying the rule to the string, wherein application of the rule to the string produces a quantitative result;

instructions for comparing the quantitative result to a standard;

instructions for, based on the comparison, identifying at least one data element in the string;

instructions for posting the data elements to a searchable database; and

instructions for, in response to a data request, displaying at least one data element to a user.

16. The computer-readable medium of claim 15, wherein the text string relates to a portion of a recorded document relating to a property transfer.

17. The computer-readable medium of claim 15, wherein at least one of the one or more rules relates to a proper name, and wherein the quantitative result comprises the likelihood that the proper name is a last name according to a source.

18. The computer-readable medium of claim 17, wherein the source comprises census information.

19. The computer-readable medium of claim 15, wherein at least one of the one or more rules relates to a common misspelling and wherein the quantitative result comprises the degree of match between a word in the string and a known word.

20. The computer-readable medium of claim 15, wherein the instructions further comprise instructions for, based on the comparison, sending at least a portion of the string to an operator for conflict resolution.