1. A method for mapping automotive data, comprising: at a server computer implementing a natural language processing system, determining whether a source string is present in a target string, wherein the source string and the target string represent text strings, wherein the source string is from a first source communicatively connected to the server computer over a first network connection, wherein the target string is from a second source communicatively connected to the server computer over a second network connection, and wherein the first source and the second source employ different naming conventions for automotive data collected thereby; if the source string is present in the target string, outputting a match containing the source string and the target string; and if the source string is not present in the target string, computing a similarity factor based at least on a first set of parameters, wherein the first set of parameters comprises a Levenshtein edit distance parameter, a single-word matches parameter, and a multi-word matches parameter, the similarity factor representing a measure of similarity between the source string and the target string.