13. The IEM of claim 12 , wherein the IEM uses the informativeness function to disambiguate different matches in the domain-specific ontology.
12. An information extraction module (IEM) comprising: a computer device; and an algorithm recorded in memory of the computer device and executable by the computer device, wherein the computer device executes the algorithm to thereby: receive and record an input block of unstructured text; discover text phrases contained in the received input block of unstructured text; access and retrieve lexical data from a knowledge source using the discovered text phrases; process the discovered text phrases and the retrieved lexical data to thereby generate a plurality of nodes in the domain-specific ontology; map sub-phrases of the discovered text phrases into the domain-specific ontology; use an informativeness function to quantify the sub-phrases by their relative informativeness as a normalized value between 0 and 1; and eliminate all quantified sub-phrases from the domain-specific ontology having a normalized value that is less than a calibrated threshold; wherein each of the plurality of nodes classifies the unstructured text to predetermined corresponding objects of interest, thereby transforming the unstructured text into the structured data.