Patent ID: 6389406
Filing Date: 2002-05-14
Classification: G06F

Abstract:
A semiotic processing module for a semiotic decision making system, wherein a training corpus of information in the form of sequential sets of elements is used to create a database which is thereafter used to make decisions relating to queries input in the same type of elements, comprising:a knowledge base for storing data representations of analyses of sets of lineally-related elements; said knowledge base data representations comprising predicate records and elemental and non-elemental act records wherein: each predicate record is associated with a class of one or more act records such that each act record is associated with only one class of act records; each elemental act record represents a set element of said predefined sets and defines a single act class of a corresponding elemental predicate record; and each non-elemental act record represents a sequence of a case predicate record followed by a result predicate record, such that all act records are recursively defined as representations of one or more sets of lineally-related elements and each predicate record represents analyses of the sets of lineally-related elements represented by each act record in the class of act records with which it is associated; an input for receiving sets of lineally-related elements and storing a representation of each distinct element as an elemental act record in said knowledge base; and a processor associated with said knowledge base which recursively processes said knowledge base records by evaluating the relationship and frequency of occurrence of individual elements and sets of elements based upon the lineal relationship of those elements as received by said input to generate predicate records and non-elemental act records based thereon which are then stored in said knowledge base.