Patent Document ID: 10127303
Application ID: 15190361

Base Claim:
1. A method of measuring and displaying facets in context-based conformed dimensional data gravity wells, the method comprising: receiving, by one or more processors, a data stream of non-contextual data objects, wherein each of the non-contextual data objects ambiguously relates to multiple subject-matters; associating, by one or more processors, one of the non-contextual data objects with a context object to define a synthetic context-based object, wherein the context object is a first facet that provides a context that identifies a specific subject-matter, from the multiple subject-matters, of said one of the non-contextual data objects; parsing, by one or more processors, the synthetic context-based object into a context-based n-tuple, wherein the context-based n-tuple comprises a pointer to said one of the non-contextual data objects, a probability that a non-contextual data object has been associated with a correct context object, and a weighting factor of importance of the synthetic context-based object; creating, by one or more processors, multiple context-based conformed dimensional data gravity well frameworks on a context-based conformed dimensional data gravity wells membrane, wherein each of the multiple context-based conformed dimensional data gravity well frameworks comprises at least one non-contextual data object and at least one context object, and wherein the context-based conformed dimensional data gravity wells membrane is a virtual mathematical membrane that is capable of supporting multiple context-based conformed dimensional data gravity wells; calculating, by one or more processors, a virtual mass of a parsed synthetic context-based object, wherein the virtual mass of the parsed synthetic context-based object is derived from a formula of: 
 P c ( C )× Wt c ( S ), where P c (C) is a probability that the non-contextual data object has been associated with a correct context object, and where Wt c (S) is the weighting factor of importance of the synthetic context-based object; transmitting, by one or more processors, multiple parsed synthetic context-based objects to the context-based conformed dimensional data gravity wells membrane; populating, by one or more processors, each of the multiple context-based conformed dimensional data gravity well frameworks with the multiple parsed synthetic context-based objects to define multiple context-based conformed dimensional data gravity wells according to the virtual mass of multiple parsed synthetic context-based objects that are pulled into each of the context-based conformed dimensional data gravity well frameworks, wherein each of the multiple parsed synthetic context-based objects is pulled into a particular context-based conformed dimensional data gravity well in response to values from its n-tuple matching said at least one context object in said particular context-based conformed dimensional data gravity well; and storing, by one or more processors, the particular context-based conformed dimensional data gravity well for use with future retrieval of each of the multiple parsed synthetic context-based objects pulled therein.

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Claim 9:
9. The method of claim 1 , wherein a particular data object is either a conformed dimensional object or a synthetic context-based object, the method further comprising: determining, by one or more processors, a likelihood that the particular data object is pulled into an appropriate context-based conformed dimensional data gravity well according to a Bayesian probability formula of: P ⁡ ( A | B ) = P ⁡ ( B | A ) ⁢ P ⁡ ( A ) P ⁡ ( B ) where: P(A|B) is the probability that a particular data object will be an appropriate populator of a particular context-based conformed dimensional data gravity well (A) given that (|) a predefined amount of dimension objects are applied to a data object in a conformed dimensional object or a predefined amount of context objects are applied to a data object in a synthetic context-based object (B); P(B|A) is a probability that the predefined amount of dimension objects are applied to the data object in the conformed dimensional object or the predefined amount of context objects are applied to the data object in the synthetic context-based object (B) given that (|) the data object is assigned to the particular context-based conformed dimensional data gravity well (A); P(A) is a probability that the particular data object will be the appropriate populator of the particular context-based conformed dimensional data gravity well regardless of any other information; and P(B) is a probability that the particular data object will have the predefined amount of context and/or dimension objects regardless of any other information.