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Conformed dimensional and context-based data gravity wells

  • US 9,251,246 B2
  • Filed: 01/28/2015
  • Issued: 02/02/2016
  • Est. Priority Date: 01/02/2013
  • Status: Expired due to Fees
First Claim
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1. A processor-implemented method of defining multiple context-based conformed dimensional data gravity wells on a context-based conformed dimensional data gravity wells membrane, the processor-implemented method comprising:

  • receiving, by a processor, a data stream of non-contextual data objects, wherein each of the non-contextual data objects is a numerical value that ambiguously relates to multiple subject-matters;

    associating, by the processor, one of the non-contextual data objects with a context object to define a synthetic context-based object, wherein the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of said one of the non-contextual data objects;

    receiving, by the processor, a data stream of non-dimensional data objects;

    applying, by the processor, a dimension object to one of the non-dimensional data objects to define a conformed dimensional object;

    parsing, by the processor, the conformed dimensional object into a dimensional n-tuple, wherein the dimensional n-tuple comprises a pointer to one of the non-dimensional data objects and a probability that one of the non-dimensional data objects has been associated with a correct dimensional label;

    parsing, by the processor, the synthetic context-based object into a context-based n-tuple, wherein the context-based n-tuple comprises a pointer to one of the non-contextual data objects and a probability that a non-contextual data object has been associated with a correct context object;

    calculating, by the processor, a virtual mass of a parsed synthetic context-based object based on a probability that the non-contextual data object has been associated with a correct context object;

    calculating, by the processor, a virtual mass of a parsed conformed dimensional object based on a probability that one of the non-dimensional data objects has come from a data source whose data has been predetermined to be appropriate for storage in a particular dimensional data gravity well;

    creating, by the processor, 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, at least one context object, and at least one dimension 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;

    transmitting, by the processor, multiple parsed synthetic context-based objects and multiple parsed conformed dimensional objects to the context-based conformed dimensional data gravity wells membrane; and

    defining, by the processor, multiple context-based conformed dimensional data gravity wells according to the virtual mass of multiple parsed synthetic context-based objects and the virtual mass of multiple parsed conformed dimensional 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 and multiple parsed conformed dimensional 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 or said at least one dimension object in said particular context-based conformed dimensional data gravity well.

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