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Predictive search and navigation for functional information systems

  • US 10,402,379 B2
  • Filed: 06/05/2018
  • Issued: 09/03/2019
  • Est. Priority Date: 03/15/2013
  • Status: Active Grant
First Claim
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1. A method for algorithmically using an n-dimensional representation derived from a systems syntax for predicting changes in composition, structure or location of data entities in n+k-dimensional space, the method comprising:

  • electronically representing a systems syntax, wherein the systems syntax comprises a logical data model that can be applied by a computer processor to evaluate or generate expressions of elements, wherein the elements represent parts, processes, and interactions of an underlying system;

    electronically receiving an input from a computing device, wherein the input is capable of being represented as a functional location in n-dimensional space, and wherein the data entities at a functional location characterize one or more of the elements, and storing the input as a data entity;

    wherein at least one of the dimensions in the n-dimensional space represents a functional domain, the functional domain comprising attributes of roles, order, or relationships among the elements;

    electronically assigning a set of functional locations in the n-dimensional space to the data entity, the locations based on attributes of the data entity;

    algorithmically computing a functional trajectory of the data entity based on a relationship of the data entity to reference points in the n-dimensional space over time or movement of the data entity with respect to the reference points, the trajectory representing a set of paths through functional locations in the n-dimensional space over time;

    algorithmically computing a functional velocity of the data entity based on a measurement of a change of the composition, structure or location relative to positions or the reference points at two or more points in time; and

    algorithmically computing a predictive functional composition, structure or location of one or more of the elements in the underlying system as represented by the data entity in the n-dimensional space at a set of specified future times, based on the computed functional trajectory and functional velocity.

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