Aim: A similarity evaluation measure for Gene Ontology GO terms is developed. Results:The proposed method takes into account the semantics hidden in ontologies or the term level information content, membership of term, and topology-based similarity measures. The proposed method is evaluated on positive and negative dataset of UniProt, Protein family clans and the Pearson's correlation with other existing methods. Conclusion:The experimental results exhibited a major supremacy of the proposed method over other semantic similarity measures.