1. A method for augmenting a semantic model from unstructured data, the method comprising: determining, by a computer processor, a root of a first element selected from a domain of a semantic model, wherein the domain includes a plurality of elements that lack relationship information between the plurality of elements; generating, by the computer processor, a search token, based at least in part on morphological rules applied to the root of the first element and a preposition added to the root of the first element, wherein a selection of the preposition that is added to the root of the first element depends upon whether the root is determined as a noun or a verb, as root occurs in the first element of the domain of the semantic model; performing, by the computer processor, a search of one or more unstructured data sources, based on the search token that is generated; determining, by the computer processor, whether results of the search include at least one phrase that contains an approximate match to the search token; in response to determining the results of the search include at least one phrase that contains an approximate match to the search token, generating a triple from the at least one phrase, and adding the triple to the semantic model; and adding, by the computer processor, a predicate of the triple to a second element of the domain of the semantic model forming a second triple, wherein the predicate of the triple expresses a relationship between the first element of the domain of the semantic model and the second element of the domain of the semantic model.