Domain learning-based ontology mapping method
基于领域学习的本体映射方法

Ontology mapping is the key problem of semantic data integration, discovering these mapping manually is inaccurate and time-consuming, using tools to automate discover these mapping between source ontology and target ontology is necessary. In this paper we propose a domain learning-based ontology mapping method which can discover mapping between the concepts of ontology, use domain knowledge and historical mappings to find the complex mapping rules about the ontology being matched, so they can be matched better. The experiments show the correctness and efficiency of our solution.