Abstract: Aiming to the problems of large amount of calculation and single method on the calculation of the concept in ontology mapping, this paper presents a comprehensive mapping method, that decomposes with suitable ontology at first, making the large size of ontology into small ontologies, reducing the computational time complexity of mapping; Then the candidate set of concepts are selected according to the ontology mapping heuristic rule, calculating the similarity of ontology concepts based on the HowNet, then computing the semantic similarity and structure similarity, the next to do is using the comprehensive weight to get the final comprehensive ontology concept similarity; Finally, an experiment is made to get the validity and correctness of algorithm. The results show that method can well improve mapping efficiency and effect of the mapping method is pretty good.

Key words:  heterogeneous ontology, ontology decomposition, ontology mapping, similarity calculation, time complexity