Title :
Mining schema matching between heterogeneous databases
Author :
Chen, Wei ; Guo, Huiling ; Zhang, Fang ; Pu, Xiaowei ; Liu, Xuefei
Author_Institution :
Dept. of Inf. Eng., Environ. Manage. Coll. of China, Qinhuangdao, China
Abstract :
Schema matching plays a key role in heterogeneous data sources integration which can find out semantic correspondences between elements of two schemas. In this paper, a schema matching algorithm named HDSM is proposed. It can discover both 1:1 and complex matches, and find mappings between opaque columns. Experiments prove that HDSM can not only discover matches between heterogeneous databases roundly, but also enhance the efficiency and precision of schema matching.
Keywords :
data integration; data mining; distributed databases; pattern matching; HDSM; heterogeneous data source integration; heterogeneous databases; opaque columns; schema matching algorithm; schema matching mining; Algorithm design and analysis; Clustering algorithms; Companies; Databases; Entropy; Matched filters; Mutual information; Data Integration; Heterogeneous Databases; Schema Matching;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4577-1414-6
DOI :
10.1109/CECNet.2012.6201642
