4. A method of extracting data from service repair verbatims in a vehicle service reporting system, the method comprising: collecting the service repair verbatims from the vehicle service reporting system, each service repair verbatim including to an identified problem with at least one vehicle part, a technician's comments concerning the at least one vehicle part, a symptom associated with the at least one vehicle part, and a repair action associated with the symptom; providing a diagnostic and prognostic ontology database that is structured by a vehicle part classification, a vehicle part sub-class classification, and a relationship classification, wherein the relationship classification includes symptom relationships and action relationships; reconstructing each of the service repair verbatims utilizing the diagnostic and prognostic ontology database; extracting combinations of information from the reconstructed service repair verbatims as a function of user input criteria by a processor; determining a frequency of appearance of each combination extracted in the reconstructed service repair verbatims by the processor, and; clustering the reconstructed service repair verbatims for each combination based on the frequency of appearance by the processor.
4. A method of extracting data from service repair verbatims in a vehicle service reporting system, the method comprising: collecting the service repair verbatims from the vehicle service reporting system, each service repair verbatim including to an identified problem with at least one vehicle part, a technician's comments concerning the at least one vehicle part, a symptom associated with the at least one vehicle part, and a repair action associated with the symptom; providing a diagnostic and prognostic ontology database that is structured by a vehicle part classification, a vehicle part sub-class classification, and a relationship classification, wherein the relationship classification includes symptom relationships and action relationships; reconstructing each of the service repair verbatims utilizing the diagnostic and prognostic ontology database; extracting combinations of information from the reconstructed service repair verbatims as a function of user input criteria by a processor; determining a frequency of appearance of each combination extracted in the reconstructed service repair verbatims by the processor, and; clustering the reconstructed service repair verbatims for each combination based on the frequency of appearance by the processor. 19. The method of claim 4 , further comprising the step of generating a graphical report for analysis, the graphical report binning service repair verbatims of a cluster into user specified categories.