Granted Patent B2

US 9,684,678 · App. 14/694,887 · Granted Jun 20, 2017

Inventor: Hamid Hatami-Hanza (Thornhill, CA)

Assignee: Hamid Hatami-Hanza

G06F17/30292G06F17/16G06N5/02

Abstract

Claims (98)

1. A system and service of investigating a composition of ontological subjects comprising:

a computer system for generating and providing one or more data structures corresponding to relational association strengths of ontological subjects of the composition comprising:

one or more data processing or computing devices,

a hardware data storage, comprising one or more non-transitory storage devices and storing data of relational association strengths of ontological subjects of a composition by having executed a method comprising:

building one or more data structures corresponding to association strengths between a plurality of ontological subjects of a first predefined order of the composition, according to least one association strength measure,

building one or more data structures corresponding to participations of ontological subjects of the first predefined order in ontological subjects of a second predefined order,

generating, using one or more data processing or computing devices, one or more data structure corresponding to a relational association strength value between an ontological subject of the second predefined order with an ontological subject of the first predefined order as a function of association strengths of the ontological subjects of the first predefined order and the data of said one or more data structures corresponding to the participation of the ontological subjects of the first predefined order into the ontological subjects of the second predefined order,

storing one or more of said one or more data structures of the data corresponding to the relational association strengths between a plurality of ontological subjects of the composition into said hardware data storage,

a client system comprising one or more data processing or storage devices generating network access requests through a data communication network;

receiving network access requests from said client system by the computer system, and processing the request from said client system and extracting a desired number of a predefined order ontological subjects of said request and providing a new composition to the client using said hardware data storage of relational association strength of the ontological subjects of the composition and at least one of the extracted ontological subject of the request.

2. The method of claim 1 , wherein said one or more data processing or computing devices having a singular or compound processing speed of one thousand million or larger than one thousand million instructions per second.

3. The method of claim 1 , wherein the association strength of the ontological subjects of the first predefined order is a function of value significance and co-occurrences, within predefined proximities in the composition, of the ontological subjects of the first predefined order.

4. The method of claim 1 , wherein the composition of ontological subject comprises one or more of:

a. one or more news content,

b. a picture,

c. a video,

d. a DNA string code,

e. a graph and/or a data array representative a graph,

f. a computer readable code,

g. a multimedia content,

h. a textual content,

i. a binary string,

j. a digital signal,

k. an electrical signal,

l. a data file,

m. one or more web pages,

n. a given corpus, and

o. a body of knowledge.

5. The method of claim 1 , wherein data of the relational association strength of ontological subjects is used to obtain an association strength value between two or more of ontological subjects of the second predefined order.

6. The method of claim 1 , wherein the data of relational association strength values of ontological subjects is represented as association strength spectrum vectors and is used to evaluate significances of ontological subjects of the first predefined order or the second predefined order, or relatedness of ontological subjects of a predefined order with each other.

7. The method of claim 1 , further comprising using the data of association strength of the ontological subjects of the first predefined order or the relational association strength between the ontological subjects of the second predefined order with the ontological subjects of the first predefined order to do at least one of followings:

a. identifying or finding related ontological subjects;

b. identifying or finding most important subjects related to another ontological subject,

c. identifying or finding indirect or novel relation of two or more ontological subjects,

d. composing a question,

e. calling a function,

f. anomaly detection,

g. composing a relevant composition to one or more ontological subjects, and

h. scoring partitions of the composition.

8. The method of claim 1 , wherein the data of the association strength of the ontological subjects of the first predefined order or the relational association strength of the ontological subjects of the second predefined order with the ontological subjects of the first predefined order is used to build a neural network with weight between nodes based on the association strength of ontological subjects.

9. The method of claim 6 , wherein the data of association strength spectrum vectors or the relational association strength value is used to visually or graphically show the relations of ontological subjects of the composition with a visual shape.

10. The method claim 1 , further comprising data communication devices/units to send and receive one or more said data structures over a data network.

11. The method of claim 1 , further comprising one or more data structures corresponding to one or more significance value conveyer vectors.

12. A system and service of investigating a composition of ontological subjects comprising:

a computer system for generating and providing one or more data structures corresponding to relational value significances of ontological subjects of the composition comprising:

one or more data processing or computing devices,

a hardware data storage, comprising one or more non-transitory storage devices and storing data corresponding to generation of relational value significances of ontological subjects of a composition by having executed a method comprising:

using one or more data processing or computing devices to build a first one or more data structure corresponding to a participation of ontological subjects of a first predefined order in ontological subjects of a second predefined order,

building, using one or more data processing or computing devices, a second one or more data structures corresponding to co-occurrences of a plurality of ontological subjects of the composition within predefined proximities in the composition,

building, using the second one or more data structure, a third one or more data structure corresponding to association strengths between a plurality of ontological subjects of the first predefined order of the composition, according to least one association strength measure,

calculating, using one or more data processing or computing devices, a value significance of an ontological subject of the second predefined order in relation to an ontological subject of the first predefined order as a function of data of the third one or more data structure and the data of the first one or more data structures, and

storing one or more of said one or more data structures corresponding to the first, the second, and the third one or more data structures, or the data corresponding to said relational value significance, into said hardware data storage,

a client system comprising one or more data processing or storage devices generating network access requests through a data communication network,

receiving network access requests from said client system by the computer system, and

processing the request from said client system and extracting a desired number of a predefined order ontological subjects of said request and proving a new composition to the client using the data stored in said hardware data storage and at least one of the extracted ontological subject of the request.

13. The method of claim 12 , wherein said one or more data processing or computing devices having a singular or compound processing speed of one thousand million or larger than one thousand million instructions per second.

14. The method of claim 12 , wherein the data of the association strength of the ontological subjects of the first predefined order or the relational value significances is used to construct a network of related ontological subjects of the composition using a function of association strengths of the ontological subjects of the composition.

15. A system and service of investigating a composition of ontological subjects comprising:

a computer system for generating and providing one or more data structures corresponding to relational novel value significances of ontological subjects of the composition comprising:

one or more data processing or computing devices

a hardware data storage, comprising one or more non-transitory storage devices and storing data of relational novel value significances of ontological subjects of a composition by having executed a method comprising:

building, using one or more data processing or computing devices, a first one or more data structures corresponding to co-occurrences of a plurality of ontological subjects of the composition within predefined proximities in the composition,

building one or more data structure using data of the first one or more data structures, corresponding to value significances of a plurality of ontological subjects of the composition according to least one value significance measure,

calculating, using one or more data processing or computing devices, a relational novel value significance measure between a pair of ontological subjects as a function of the value significance of one or more of the ontological subjects and inverse of their co-occurrence number of the pair of ontological subjects, and

building a database of relational novel value significances by storing said one or more data structures corresponding to said relational novel value significances of a plurality of pairs of ontological subjects of the composition into said hardware data storage,

a client system comprising one or more data processing or storage devices generating network access requests through a data communication network,

receiving network access requests from said client system by the computer system, and

processing the request from said client system and extracting a desired number of a predefined order ontological subjects of said request and providing a new composition to the client using said database of relational novel value significances of the ontological subjects of the composition and at least one of the extracted ontological subjects of the request.

16. The method of claim 15 , wherein the composition of ontological subject contains one or more of:

a. one or more news content,

b. a picture,

c. a video,

d. a DNA string code,

e. a graph and/or a data array representative a graph,

f. a computer readable code,

g. a multimedia content,

h. a textual content,

i. a binary string,

j. a digital signal,

k. an electrical signal,

l. a data file,

m. one or more web pages,

n. one or more collection of one or more patent application disclosures,

o. a given corpus, and

p. a body of knowledge.

17. The method of claim 15 , wherein the data of relational novel value significances is used to suggest a research topic.

18. The method of claim 15 , further comprising using the data of the relational novel value significances of the ontological subjects of the composition to do at least one of followings:

a. identifying or finding related ontological subjects;

b. identifying or finding most important subjects related to another ontological subject,

c. identifying or finding indirect or novel relation of two or more ontological subjects,

d. identifying or finding indirect or novel relation of two or more partitions of the composition,

e. composing a question,

f. calling a function,

g. anomaly detection,

h. composing a relevant composition to one or more ontological subjects, and

i. scoring partitions of the composition.

19. The method of claim 15 , wherein the data of relational novel value significances or the value significances of the ontological subjects is used to build a neural network with weight between nodes as a function said data.

20. The method of claim 15 , wherein the data of relational novel value significances or the value significances of the ontological subjects of the composition is used to visually or graphically show the relations of ontological subjects of the composition with a visual shape or content.

Priority Claims (1)

Continuity (29)