21. A computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein that, when executed, cause a processor to perform respective functions, the computer-readable program portions comprising: a first processor-executable portion capable of accessing at least a portion of a diagnostic network model that associates a plurality of components and symptoms based upon causal relationships there between, wherein the causal relationships associate a failure of respective components and occurrence of the at least one symptom, and wherein the diagnostic model also associates a probability obtained from an individual participating in construction of the diagnostic network model with the causal relationship between a symptom and a respective component whose failure contributes to the symptom; a second processor-executable portion capable of displaying a representation of the plurality of components and symptoms including a plurality of parent nodes representative of the components, a plurality of child nodes representative of the symptoms and a plurality of influence arcs extending between respective parent and child nodes and associated with respective probabilities; a third processor-executable portion capable of receiving a selection of at least one of the plurality of components and symptoms from among the plurality of components and symptoms that are displayed; and a fourth processor-executable portion, responsive to the selection, capable of obtaining and displaying additional information related to the at least one of the components and symptoms that is selected.
22. A computer-program product according to claim 21 further comprising a fifth executable portion capable of constructing the diagnostic network model, wherein said fifth executable portion is further capable of automatically reviewing a structured electronic representation of a document to identify the plurality of symptoms and components and the causal relationships therebetween, and of automatically constructing the network model of the plurality of symptoms and components and the causal relationships therebetween.