3. The method according to claim 1 further comprising organizing the evidence contained in the narrative text into a knowledge base as one or more triples with each triple including a subject, a relation and an object, according to a given ontology.
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.