Toward an Update of a Similarity Measurement for a Better Calculation of the Semantic Distance between Ontology Concepts

Computational models of semantic similarity can be found in many applications, with the aim to give this additional knowledge to reason about their data. The choice of a similarity measure is very crucial for a successful implementation of reasoning. In this work, we present an update of similarity calculation presented by Wu and Palmer which is considered the fastest in terms of generation time of similarity. The results show that the measure provides produced a marked improvement in the relevance of the values produced for the two concepts similarity in ontology.