An Improved Dissimilarity based Approach to Semantic Similarity Calculation

With the trend that the computational process of semantic similarity more and more mimics the human thought process, it becomes very important to consider the difference between semantics. In this paper, we review commonly used semantic similarity models, discuss the limitations of our previous models, and improve the information content (IC) computation model based on wordnet ontology. In turn, different strategy is employed. The results show that the model proposed in this paper has high computational accuracy.