1. A method of automatically discovering ontology file categories, said method comprising the steps of: a) searching for available semantic data files; b) storing links and content to identified semantic data files; c) generating an ontology file from stored said content for each linked said semantic data file; d) identifying a domain for each said ontology file, said domain being identified from generated ontology files; e) extracting a plurality of ontology file categories from domains identified for said generated ontology files, said ontology file categories being statistically identified automatically from said domains, extracting comprising: determining and normalizing contextual significance for all domains, each normalized contextual significance providing a significance value for a respective domain, and combining discovered domains and features for generated ontology files responsive to domain significance values; f) providing a training set from generated ontology files, said training set including an instance set, a domain set and a feature set; and g) classifying ontology file instances responsive to said training sets, results of classification indicating automatic category discovery effectiveness.
7. A method as in claim 1 , the step (c) of generating an ontology file comprising the steps of: i) parsing said content; ii) extracting names from parsed said content; and iii) converting said content into ontology files responsive to extracted said names and guided by a natural language processor filtering, cleaning and segmenting said names and identifying synonyms, acronyms and antonyms for said names.