Semantic enrichment in ontology mapping using concept similarity computing

In semantic web ontology heterogeneity is a big bottleneck of ontology application, and ontology mapping is the base for integration of heterogeneous ontology. The ontology mapping model contains several aspects, and concept similarity computing is the most important part. This paper presents a concept similarity computing algorithm combining lexical matching to achieve semantic enrichment and high accuracy results. It has been proved that the evaluation of concept similarity between ontologies is more accurate by considering both semantic similarity and semantic relativity.