We report an exercise that resembles ontology merging. Disambiguated words called universal words (UW) from two different sources are attempted to be unified through similarity computation. Using an Ontology based and Extended Gloss Overlap based algorithm, reasonable accuracy is obtained for nouns, followed by decreasing accuracy for adjectives, adverbs and verbs. The context is the Universal Networking Language (UNL) project which is an international endeavor for multilingual information access on the web