语言数据库中异构数据自动转换方法研究

Research on Automatic Conversion Method of Heterogeneous Data in Language Database

数据语言是为数据库管理系统提供操作数据库的重要方法以及手段。针对传统数据转换方法存在数据转换时间过长、数据转换后信息利用率以及转换精度较低等问题,提出一种新的异构数据转换方法基于语言数据库中的异构数据自动转换方法。将采集周期相同的语言数据放置到所对应的数据列中,引入启发式算法对数据列进行排序,按着排列的顺序将各个数据项进行调整,完成语言数据库中异构数据自动采集。构建异构数据转换器,将采集的异构数据置入数据转换器中,进行语言数据库中异构数据的自动转换。实验结果表明,所提方法能够有效减少数据转换耗时,提高数据转换后的利用率以及转换精度。

Traditional data conversion methods lead to excessive data conversion time, low information utilization rate and low conversion precision. Therefore, a new heterogeneous data conversion method in language database was proposed. At first, the language data with the same acquisition period was placed into the corresponding data column. Then, the heuristic algorithm was introduced to sort data columns. After that, data items were adjusted based on arrangement and thus to complete the automatic collection of heterogeneous data in language database. In addition, the heterogeneous data converter was constructed, and the collected heterogeneous data was put into the data converter, so as to automatically convert heterogeneous data in language database. Simulation results show that the proposed method can effectively reduce the data conversion time. Meanwhile, this method can improve the utilization rate and the conversion accuracy after conversion.