1. A method of predicting that an event identified in a first topic map meta-model will have an effect on at least one asset identified in a second topic map meta-model, the method comprising the steps of: a computer creating a third topic map meta-model which maps at least one asset from the second topic map meta-model to an event from the first topic map meta-model, the third topic map meta-model comprising: a topic map representation of assets of the second topic map meta-model, the second topic map meta-model further comprising a topic map based index and instance ontology of a meta-model of assets; and a topic map representation of events of the first topic map meta-model, the first topic map meta-model further comprising a topic map based index and instance ontology of a meta-model of events; the computer receiving a query input from a user identifying an event; and the computer identifying at least one asset mapped to an event corresponding to the event identified in the query input in the third topic map meta-model wherein the step of identifying the at least one asset comprises the computer determining that the at least one asset has greater than a threshold probability of being affected by the event identified in the query input.