Systems and methods for making correlations

• US 10,650,063 B1
• Filed: 11/27/2013
• Issued: 05/12/2020
• Est. Priority Date: 11/27/2012
• Status: Active Grant

• Current Assignee: Robert Douglas Fish
• Original Assignee: Robert Douglas Fish
• Inventors: Fish, Robert D.
• Primary Examiner(s): Gofman, Alex
• Assistant Examiner(s): Black, Linh
• Application Number:
  US14/091,874
• Time in Patent Office: 2,358 Days
• Field of Search: 707705-707, 707731, 707771, 707828-829
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/953 Querying, e.g. by the use of web search engines

Abstract

Second and higher order correlations of search terms in records of a database are located through matching of terms found in successive concordances.

Claims

1. A service configured to assist a user to quickly and efficiently find correlations between data associated with a first search string and data associated with a second search string, the correlations extracted from within data records of a data structure, comprising a processing facility having at least one processor and configured to:

receive the first search string (A1) through a first electronic interface;

receive a second search string (B1) through a second electronic interface, wherein the first electronic interface and the second electronic interface each have graphical and auditory interface components;

determine an at least partial listing of the data records of the data structure that match A1;

determine an at least partial listing of the data records of the data structure that match B1;

provide to the user an at least partial level 1 concordance (conA1) of terms associated with A1 that are present in the at least partial listing of data records of the data structure that match A1 within a first window of up to 1,000 characters about A1,

wherein the conA1 comprises a word and a phrase, and

wherein the conA1 comprises at least one occurrence for each search term, and the at least one occurrence is derived only from main text in the data records;

provide to the user an at least partial level 1 concordance (conB1) of terms associated with B1 that are present in the at least partial listing of data records of the data structure that match B1 within a second window of up to 1,000 characters about B1,

wherein the conB1 comprises a word and a phrase, and

wherein the conB1 comprises at least one occurrence for each search term, and the at least one occurrence is derived only from main text in the data records;

receive from the user a trigger to produce at least a partial level 2 concordance (conA2) of terms that match A1 different from conA1; and

identify to the user at least a subset of matches (M1) between the conA2 and the conB1 wherein the subset of matches M1 is at least partially filtered by a designation of at least one category; and

wherein the subset of matches M1 is at least partially sorted by at least one of a frequency of occurrence, a match, or alphabetically.

2. The service of claim 1, wherein the data structure comprises a database operated by or on behalf of a search engine service.

3. The service of claim 1, wherein the second electronic interface is the same as the first electronic interface.

4. The service of claim 1, wherein at least one of the first and second electronic interfaces is implemented using a microphone.

5. The service of claim 1, wherein the concordance conA1 is derived from at least 100 records of the data structure.

6. The service of claim 1, wherein the subset of matches M1 are exact matches.

7. The service of claim 1, wherein the processing facility is further configured to provide a facility by which the user can select to review a record corresponding to at least one of the at least the subset of matches.

8. The service of claim 1, wherein the processing facility is further configured to:

provide a facility by which the user can select a subset of members (A2) of the at least partial listing of conA1, and provide the at least partial level 2 concordance (conA2) of terms, wherein the at least partial 2 concordance (conA2) of terms is associated with A2 from the data records of the data structure; and

provide a facility by which the user can select a subset of members (B2) of the at least partial listing of conB1, and provide an at least partial level 2 concordance (conB2) of terms associated with B2 from the data records of the data structure.

9. The service of claim 8, wherein the processing facility is further configured to:

identify to the user at least a subset of matches (M2) between the at least partial 2 concordance (conA2) of terms and at least partial 2 concordance (conB2) of terms.

10. The service of claim 8, wherein the processing facility is further configured to:

identify to the user at least a subset of matches (M3) between the at least partial 1 concordance (conA1) of terms and the at least partial 2 concordance (conB2) of terms.

11. The service of claim 9, wherein the at least the subset of matches M2 is at least partially filtered by a designation of least one category.

12. The service of claim 8, wherein the processing facility is further configured to:

provide a facility by which the user can select a subset of members (A3) of the at least partial listing of level 2 concordance (conA2) of terms, and provide an at least partial level 3 concordance (conA3) of terms associated with A3 from the data records of the data structure; and

provide a facility by which the user can select a subset of members (B3) of the at least partial listing of level 2 concordance (conB2) of terms, and provide an at least partial level 3 concordance (conB3) of terms associated with B3 from the data records of the data structure.

13. The service of claim 12, wherein the processing facility is further configured to:

identify to the user at least a subset of matches (M4) between the at least partial 3 concordance (conA3) of terms and the at least partial 3 concordance (conB3) of terms.

14. The service of claim 12, wherein the processing facility is further configured to identify to the user at least a subset of matches (M5) between the at least partial 3 concordance (conA3) of terms and the at least partial 1 concordance (conB1) of terms, and between the at least partial 3 concordance (conA3) of terms and the at least partial 2 concordance (conB2) of terms.

15. A service configured to assist a user to find correlations between data associated with a first search string and data associated with a second search string, the correlations extracted from within data records of a data structure, comprising a processing facility having at least one processor and configured to:

receive the first search string (A1) through a first electronic interface;

receive a second search string (B1) through a second electronic interface, wherein the first electronic interface and the second electronic interface each have graphical and auditory interface components;

determine an at least partial listing of the data records of the data structure that match A1;

determine an at least partial listing of the data records of the data structure that match B1;

provide to the user an at least partial level 1 concordance (conA1) of terms associated with A1 from the at least partial listing of data records of the data structure that match A1,

wherein the conA1 comprises a word and a phrase,

wherein the conA1 comprises at least one occurrence for each search term, and the at least one occurrence is derived only from main text in the data records;

provide to the user an at least partial level 1 concordance (conB1) of terms associated with B1 from the at least partial listing of data records of the data structure that match B1,

wherein the conB1 comprises a word and a phrase, and

wherein the conB1 comprises at least one occurrence for each search term, and the at least one occurrence is derived only from main text in the data records;

receive from the user a trigger to produce at least a partial level 2 concordance (conA2) of terms that match A1 different from conA1;

identify to the user at least a subset of matches (M1) between the conA2 and the conB1 with connecting lines wherein the subset of matches M1 is at least partially filtered by a designation of at least one category; and

wherein the subset of matches M1 is at least partially sorted by at least one of a frequency of occurrence, a match, or alphabetically.