Method and system for n-dimentional, language agnostic, entity, meaning, place, time, and words mapping

• US 8,744,840 B1
• Filed: 10/11/2013
• Issued: 06/03/2014
• Est. Priority Date: 10/11/2013
• Status: Expired due to Fees

• Current Assignee: Realfusion LLC
• Original Assignee: Realfusion LLC
• Inventors: Morrison, Jason
• Primary Examiner(s): PULLIAS, JESSE SCOTT
• Application Number:
  US14/052,275
• Time in Patent Office: 235 Days
• Field of Search: None
• US Class Current: 704/10
• CPC Class Codes: G06F 40/45 Example-based machine translation; Alignment

Abstract

A method, system, and computer-readable program for creating at least one n-dimensional map by utilizing one or more processors are disclosed. One aspect of the subject matter described can be embodied by a computer-implemented method which utilizes simple and reduced complexity algorithms in which an n-dimensional map, e.g., an EMPT (Entity, Meaning, Place, and Time) map or a language map (e.g., Words map), may be created by integrating the data itself within a special environment and context such that all pedigrees of data, in massive amounts, may be rapidly and accurately correlated and analyzed in unique and new ways.

Claims

1. A computer-implemented method for creating at least one n-dimensional map by utilizing one or more processors, comprising:

obtaining, by utilizing said one or more processors, data from a plurality of data sources, said data containing information of a plurality of items each having one or more of an entity, a meaning, a place, a time, a word, a phrase, or a symbol;

ascribing, by utilizing said one or more processors, meaning to position or location within an n-dimensional space represented by a fixed point for each item within a space among n-dimensional spaces, wherein a fixed point for one item is different from a fixed point for another item;

arranging, by utilizing said one or more processors, said fixed point for one item relative to the fixed point for another item in corresponding space according to a set of predefined variable;

creating, by utilizing a mapping unit, an n-dimensional map by correlating each of said fixed points defining corresponding location within the space;

translating, by utilizing said one or more processors, content associated with each item into its corresponding location within the n-dimensional map and storing said translated content as a set of coordinates with corresponding relationship to each other to perpetually correspond to one or more of said entity, meaning, place, time, word, phrase, or symbol; and

comparing, by utilizing said one or more processors, said translated content with a new set of data to determine differences or similarities between the translated content and the new set of data to provide a fused data on one or more output device with meaningful attributes,

wherein said n-dimensional map is an EMPT (entity, meaning, place, and time) map created by correlating different types of data over the same entities, meanings, times, and places according to corresponding fixed points in the n-dimensional space in the form of a Cartesian or other type of coordinate representing greater than two (2) dimensions coordinate.

2. The computer-implemented method according to claim 1, further comprising:

creating said n-dimensional map by correlating different types of data over the same words, symbols, characters, or other data representative of meaning in a plurality of languages according to corresponding fixed points in the n-dimensional space in the form of a Cartesian coordinate or other type of coordinate representing greater than two (2) dimensions.

3. The computer-implemented method according to claim 1, further comprising:

ascribing a subordinate fixed point for each item, having a specific attribute or classification, within a subordinate space to create a plurality of subordinate n-dimensional spaces.

4. The computer-implemented method according to claim 1, wherein said variable is selected from the group consisting of:

language, classification, attribute, taxonomy, ontology, sign, symbol, phrase, and character.

5. A system for creating at least one n-dimensional map, comprising:

a processing unit configured to;

obtain data from a plurality of data sources, said data containing information of a plurality of items each having one or more of an entity, a meaning, a place, a time, a word, a phrase, or a symbol;

ascribe meaning to position or location within an n-dimensional space represented by a fixed point for each item within a space among n-dimensional spaces, wherein a fixed point for one item is different from a fixed point for another item; and

arrange said fixed point for one item relative to the fixed point for another item in corresponding space according to a set of predefined variable; and

a mapping unit configured to;

create an n-dimensional map by correlating each of said fixed points defining corresponding location within the space;

translate content associated with each item into its corresponding location within the n-dimensional map and store said translated content as a set of coordinates with corresponding relationship to each other to perpetually correspond to one or more of said entity, meaning, place, time, word, phrase, or symbol; and

compare said translated content with a new set of data to determine differences or similarities between the translated content and the new set of data to provide a fused data on one or more output device with meaningful attribute,

wherein said n-dimensional map is an EMPT (entity, meaning, place, and time) map created by correlating different types of data over the same entities, meanings, times, and places according to corresponding fixed points in the n-dimensional space in the form of a Cartesian or other type of coordinate representing greater than two (2) dimensions coordinate.

6. The system according to claim 5, wherein said mapping unit is configured to create said n-dimensional map by correlating different types of data over the same words, symbols, characters, or other data representative of meaning in a plurality of languages according to corresponding fixed points in the n-dimensional space in the form of a Cartesian coordinate or other type of coordinate representing greater than two (2) dimensions.

7. The system according to claim 5, wherein the processing unit is further configured to ascribe a subordinate fixed point for each item, having a specific attribute or classification, within a subordinate space to create a plurality of subordinate n-dimensional spaces.

8. The system according to claim 5, wherein said variable is selected from the group consisting of:

language, classification, attribute, taxonomy, ontology, sign, symbol, phrase, and character.

9. A non-transitory computer-readable storage medium having computer-executable instructions for creating at least one n-dimensional map, the computer-executable instructions, when executed by a computer having one or more processors, cause the computer to perform steps of:

obtaining data from a plurality of data sources, said data containing information of a plurality of items each having one or more of an entity, a meaning, a place, a time, a word, a phrase, or a symbol;

ascribing meaning to position or location within an n-dimensional space represented by a fixed point for each item within a space among n-dimensional spaces, wherein a fixed point for one item is different from a fixed point for another item;

arranging said fixed point for one item relative to the fixed point for another item in corresponding space according to a set of predefined variable;

creating, by utilizing a mapping unit, an n-dimensional map by correlating each of said fixed points defining corresponding location within the space;

translating content associated with each item into its corresponding location within the n-dimensional map and storing said translated content as a set of coordinates with corresponding relationship to each other to perpetually correspond to one or more of said entity, meaning, place, time, word, phrase, or symbol; and

comparing said translated content with a new set of data to determine differences or similarities between the translated content and the new set of data to provide a fused data on one or more output device with meaningful attributes,

wherein said n-dimensional map is an EMPT (entity, meaning, place, and time) map created by correlating different types of data over the same entities, meanings, times, and places according to corresponding fixed points in the n-dimensional space in the form of a Cartesian or other type of coordinate representing greater than two (2) dimensions coordinate.

10. The non-transitory computer-readable storage medium of claim 9, wherein said computer-executable instructions, which, when executed by the computer, cause the computer to perform additional step of:

creating said n-dimensional map by correlating different types of data over the same words, symbols, characters, or other data representative of meaning in a plurality of languages according to corresponding fixed points in the n-dimensional space in the form of a Cartesian coordinate or other type of coordinate representing greater than two (2) dimensions.

11. The non-transitory computer-readable storage medium of claim 9, wherein said computer-executable instructions, which, when executed by the computer, cause the computer to perform additional step of:

ascribing a subordinate fixed point for each item, having a specific attribute or classification, within a subordinate space to create a plurality of subordinate n-dimensional spaces.

12. The non-transitory computer-readable storage medium of claim 9, wherein said variable is selected from the group consisting of:

language, classification, attribute, taxonomy, ontology, sign, symbol, phrase, and character.