3. The method of claim 1 , further comprising: parsing, by the computer processor, the at least one phrase to form a phrase-structure tree; determining, by the computer processor, a type of phrase for each portion of the phrase-structure tree, and a part of speech for each word of each portion of the phrase-structure tree; determining, by the computer processor, a probability of an accurate determination of the type of phrase and part of speech of each portion of the phrase-structure tree; and generating, by the computer processor, a triple from the phrase-structure tree based on the parsing, the determining of the type of phrase and the part of speech, and the determining of the probability of the accurate determination of the type of phrase and the part of speech, wherein the triple includes a subject, a predicate, and an object.
3. The method of claim 1 , further comprising: parsing, by the computer processor, the at least one phrase to form a phrase-structure tree; determining, by the computer processor, a type of phrase for each portion of the phrase-structure tree, and a part of speech for each word of each portion of the phrase-structure tree; determining, by the computer processor, a probability of an accurate determination of the type of phrase and part of speech of each portion of the phrase-structure tree; and generating, by the computer processor, a triple from the phrase-structure tree based on the parsing, the determining of the type of phrase and the part of speech, and the determining of the probability of the accurate determination of the type of phrase and the part of speech, wherein the triple includes a subject, a predicate, and an object. 4. The method of claim 3 , wherein determining, by the computer processor, the type of phrase and the part of speech for each portion of the phrase-structure tree further comprises: applying the morphological rules to each portion of the phrase-structure tree, wherein the morphological rules include removing non-open class parts of speech from the at least one phrase of the phrase-structure tree to form the triple; and generating, by one or more processors, a graph corresponding to an ontology of the domain in which a first node corresponds to a subject of the triple and a second node corresponds to an object of the triple, and an edge corresponds to a relationship between the subject of the triple and the object of the triple, wherein the edge of the graph includes a probability associated with the relationship, forming a Markov chain.