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Data processing method for a semiotic decision making system used for responding to natural language queries and other purposes

  • US 6,278,987 B1
  • Filed: 07/30/1999
  • Issued: 08/21/2001
  • Est. Priority Date: 07/30/1999
  • Status: Expired due to Term
First Claim
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1. A dyadic semiotic processing method for a semiotic decision making system wherein a training corpus of information in the form of sequential sets of elements, where the number of elements of each sequential set does not exceed a selected finite number N, is used to create a database which is thereafter used to make decisions relating to queries input in the same type of elements, the method including the following steps:

  • receiving sets of sequential elements of a training corpus;

    identifying ordered pairs of sequential elements and ordered pairs, said ordered pairs including element/element, pair/element, element/pair and pair/pair ordered pairs, in a recursive semiotic process based on the statistical occurrence of element sequences in the training corpus sets whereby each ordered pair represents an n sequential element subset of a training corpus set defined by a set of nested ordered pairs;

    for each training corpus set having at least three elements, identifying constituent sets of ordered pairs and elements, each said constituent set for a given training corpus set of n sequential elements having 2n−

    1 members including representations of each sequential element of the training corpus set and a set of nested subsets of ordered pairs where each sequential training corpus set element is included in one of said ordered pairs; and

    creating a database records corresponding to said identified constituent sets.

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