Method of analyzing a scenario represented as elements of a tensor space, and scored using tensor operators

摘要

A mathematical model to represent multiple role events of a threat scenario, and a methodology to score the events given the data or evidence contained in a knowledge base is provided. The multiple role event can include any action encompassed by an independent clause having multiple syntactical roles (subject, object, location, etc. . . . ) and containing multiple entities (person A, person B, object C, place D, etc. . . . ). Multiple role events are represented as elements of a tensor space, and are scored using tensor operators built from the semantic graph associated with the knowledge base.

主权项

1. A computer implemented method for scoring a relative likelihood that a hypothetical event in a scenario is to occur, the method comprising:
collecting narrative text communications, each communication including a group of words, regarding evidence related to the scenario to build a knowledge base; representing the evidence as a semantic graph of the knowledge base; building a symmetric weighted adjacency matrix representing an undirected weighted topology of the semantic graph; building a tensor space to represent events or classes of events of the scenario; building a tensor operator, from the symmetric weighted adjacency matrix, measuring a connectedness or closeness of entities in the scenario into the hypothetical event; and scoring each event or classes of events by using the tensor operator to rank the relative likelihood of each event to occur relative to a class of events.