Method for identifying the integrity of information

• US 20100241419A1
• Filed: 03/18/2010
• Published: 09/23/2010
• Est. Priority Date: 03/18/2009
• Status: Active Grant

• Current Assignee: Entigenlogic LLC
• Original Assignee: Iqintell, Inc.
• Inventors: Williams, Frank John
• Granted Patent: US 9,063,923 B2
• Time in Patent Office: Days
• US Class Current: 704/9
• CPC Class Codes: G06F 40/237 Lexical tools

Abstract

A preferred method for identifying at least one of a grammatical, linguistic and/or conceptual integrity of a data corpus is disclosed. In a preferred method, the associations between several word elements of a data corpus are identified. Then, the word elements experiencing several associations are used for identifying the continuum between associations and the number of word elements involved and/or not involved in the associations which is then used for identifying at least one of a: linguistic, semantic, grammatical, conceptual or other integrity or coherence of the analyzed data corpus, such as a query for optionally displaying a data corpus understanding and/or selecting a particular search behavior or other.

Claims

1. A Method for identifying the integrity of a data corpus comprising the steps of:

a) Identifying a data corpus comprising several word elements,

b) Identifying at least one association between several of said word elements such as implementing a word element associative analysis such a CIRN,

c) Performing an analysis involving at least one of a;

identifying an N number of word elements belonging to an association and identifying an M number of word elements not belonging to any association,

d) Implementing at least one of a;

said M number and said N number for identifying at least one of a;

grammatical integrity of said data corpus, conceptual integrity of said data corpus, linguistic integrity of said data corpus, rational integrity of said data corpus, realistic integrity of said data corpus, semantic integrity of said data corpus and association integrity of said data corpus.

2. Method for identifying at least one of a:

number of word elements experiencing associations of a data corpus and number of word elements not experiencing any associations of a data corpus, the method comprising the steps of;

a) Identifying at least one association between several word elements of a data corpus,

b) Implementing an identifying information such as a tally for identifying at least one of a;

all word elements involved in said association and all word elements not involved in any association,

c) Identifying the number of word elements identified by said identifying information such as a tally,

d) Implementing said identified number for identifying at least one of a;

number of word elements involved in an association and number of word elements not involved in any association.

3. A method for analyzing the associations between the associations of a data corpus, the method comprising the steps of:

a) Identifying a word element of an association b) Identifying a different word element from the previous association

c) Identifying the word element from the previous step;

wherein the word element is in a different association

d) Repeating the second and third steps until every remaining different association and different word element is identified.

4. A method for identifying at least one of a:

sentence, phrase and other, the method comprising the steps of;

a) Identifying a network of at least one association between several word elements of a data corpus,

b) Identifying a grammatical inventory including at least one of a;

number of subjects, number of objects, number of verbs, number of adjectives, number of adverbs, number of nouns, number of articles, number of conjunction words and number of functional words,

c) Implementing said grammatical inventory for identifying at least one of a;

sentence, phrase and nonsensical corpus,

d) Identifying said data corpus to be at least one of a;

sentence, phrase and nonsensical corpus.

5. A method for identifying at least one of a:

plurality of sentences of a data corpus and plurality of phrases of a data corpus, the method comprising the steps of;

a) Identifying a first network of associations between several word elements of a data corpus,

b) Identifying a second network of associations between several word elements of the said data corpus,

c) Identifying a conjunction word,

d) Verifying that said conjunction word is grouping at least one of a;

said first network of associations and said second network of associations,

e) Identifying a plurality of at least one of a;

sentence and phrase comprising said data corpus.