Improve lexicon and ontology_manager.py

Currently ontology_manager.py using a pattern match to find words potentially in a lexicon/ontology. You might want to have an exact dictionary to do a lexcion match, like "Barack Obama": "PUBLIC_FIGURE". Also, we need to incorporate better stop words and language specific stopwords to prevent the infering a word belongs in the lexicon when it's a stop words (like "maybe", "must", etc.)