Abstract The mapping efficiency is key to the performane of dynamic ontology mapping in Semantic Web Service descovery, contextawareness in smart spaces and so on. The existing methods simplify the current methods of similarity computation to promotes the efficiency, nevertheless they fail in the case that the number of candidate mapping entity pairs increases when ontology gets larger. An efficient ontology mapping method based on ontology partition is proposed, which divides an ontology into a set of blocks through bottomup clustering. Then the blocks and candidate mapping entity pairs are mapped and selected from the block mapping result. The experimental results show that the proposed method promotes the efficiency of mapping significantly with 6 times faster than Falcon-AO.
2011, Vol. 24 
