A schema matching approach based on clustering and auxiliary dictionary
Dapeng Lang · Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University · 2013
For the problem of schema conflict in Chinese environment,a novel metadata-based schema matching method was proposed.Firstly,a feature vector was extracted for each schema from database dictionary,and the clustering technique was performed on the vectors,then the similar schemas in semantics were divided into the same clusters.Secondly,for different schemas in the same cluster,the semantic similarities between attributes were calculated,with the help of auxiliary dictionary.Finally,a method combing a variety of strategies was used to filter the results,and the candidate matching set for each attribute was generated.The experimental results show that the proposed method can not only increase the efficiency of schema matching,but also have a higher accuracy.