An Improvement in Measuring the Semantic Similarity Between RDF Ontologies

Abstract

Abstract-RDF (Resource Description Framework) ontologies has been playing an important role for many knowledge applications because they support a source of precisely defined terms. However, the wide-spread of RDF ontologies creates a demand for automatic way of assessing their similarity. In this paper, we present a novel method to measure the semantic similarity between elements in different RDF ontologies. This measure is designed so as to enable extraction of information encoded in RDF element descriptions and to take into account the element relationships with its ancestors and children. We evaluate the proposed measures in the context of matching two RDF ontologies to determine the number of matches between them and then compare with human estimation and the related methods. The experimental results show that our similarity values are better than other approaches with regard to the accuracy of semantics and structure similarities.