To implement the interoperation of different ontologies in medical informatics domain and achieve the goal of the sharing and multiplexing of domain knowledge, the heterogeneous problem between ontologies must be solved. Now the best method of resolving ontology heterogeneous is establishing ontology mapping, that is founding the semantic relations between ontologies and making corresponding mapping rules firstly, and then integrating all independent ontologies into a whole to be operated. In order to produce mapping-pairs and implement ontology mapping and realizing knowledge sharing, a concept similarity algorithm combining semantic similarity with semantic relativity is adopted to estimate the similarity between concepts. It has been proved that the evaluation of concept similarity between ontologies is more accurate by considering both semantic similarity and semantic relativity, and it has laid a good foundation for establishing mapping-pairs and knowledge sharing model based on ontology mapping.
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