This paper presents a method for word sense disambiguation based on Lesk algorithm which uses lexical database WordNet as knowledge base. The word sense disambiguation is the process of automatically clarifying a meaning of a word in its context. In general, ontology means the meaning or analogous term. It can be interpreted by relating the word with other words in the sentence. This tool accepts English statement as input and gives best possible meaning of given word. Method is experimented with senseval-2 test data for lexical sample task. The results show the betterment over the original Lesk algorithm.