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Population of context-based data gravity wells

  • US 10,521,434 B2
  • Filed: 04/01/2016
  • Issued: 12/31/2019
  • Est. Priority Date: 05/17/2013
  • Status: Active Grant
First Claim
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1. A computer system comprising one or more processors, one or more computer readable memories, and one or more computer readable storage mediums, and program instructions stored on at least one of the one or more storage mediums for execution by at least one of the one or more processors via at least one of the one or more memories, the stored program instructions comprising:

  • program instructions to convert raw data into a first logical address and first payload data, wherein the first logical address describes metadata about the first payload data;

    program instructions to compare the first logical address to a second logical address to derive a Hamming distance between the first and second logical addresses, wherein the second logical address is for a second payload data;

    program instructions to create a data vector for the second payload data, wherein the data vector comprises the Hamming distance between the first and second logical addresses;

    program instructions to sort data vectors into specific data gravity wells on a data gravity wells membrane according to the Hamming distance stored in the data vector, wherein the data gravity wells membrane is a mathematical framework that

         1) performs to provide a virtual environment in which multiple context-based data gravity wells exist;

         2) populates the multiple context-based data gravity wells with synthetic context-based objects; and

         3) performs to display the multiple context-based data gravity wells on a display;

    program instructions to apply a context object to a non-contextual data object, wherein the non-contextual data object is a component of the raw data, wherein the non-contextual data object ambiguously relates to multiple subject-matters, and wherein the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of the non-contextual data object;

    program instructions to incorporate the context object and the non-contextual data object into the data vector for the second payload data;

    program instructions to sort the second payload data into specific data gravity wells on the data gravity wells membrane according to the context objects and the non-contextual data objects; and

    program instructions to display the second payload data being sorted into the specific data gravity wells on the display.

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