TokenizeSemantic Similarity relates to computing the similarity be-tween concepts which are not lexicographically similar. We
investigate approaches to computing semantic similarity by
mapping terms (concepts) to an ontology and by examin-ing their relationships in that ontology. Some of the most
popular semantic similarity methods are implemented and
evaluated using WordNet as the underlying reference ontol-ogy. Building upon the idea of semantic similarity, a novel
information retrieval method is also proposed. This method
is capable of detecting similarities between documents con-taining semantically similar butnot necessarily lexicograph-ically similar terms. The proposed method has been eval-uated in retrieval of images and documents on the Web.
The experimental results demonstrated very promising per-formance improvements over state-of-the-art information re-trieval methods