Abstract:In recent years, with the establishment of data element standard, data element plays important role during data integration in many enterprises. Data element may standardize dataitems of databases, reports and documents. It may help mapping between data sources. Analyzing the compositions of data element and putting forward a kind of matching algorithm between dataitem and data element. The matching algorithm is based on levenshtein distance and fused the thought of longest common subsequence, weight and backward focus. It realizes similarity calculation between dataitem and data element of data element dictionary. It uses the permutation and combination principle to optimize matching speed. The experiments have proved that the matching algorithm was right through using the standard dataitems of China Petroleum and Chemical data element dictionary as experimental data.