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US 10,650,063 B1Granted
Systems and methods for making correlations
OwnerRobert D. Fishinventor
Life of this patent
Estimating the term…
Abstract
Second and higher order correlations of search terms in records of a database are located through matching of terms found in successive concordances.
Claims15
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.
11 more elements
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.
10 more elements
Dependencies are inferred from the claim text.