摘要
由于异构数据之间存储产品、存储结构和存储形式方面的差异性,使其数据转换出现离散,符合度出现偏差。本文提出一种在异构数据转换系统中实现三个对应转换模板的方法,确保系统设计满足高内聚和低耦合要求,探讨了模板实现中的关键技术。以自适应数据转换模板来实现不同类型源数据对应转换模板的自动匹配是一种有效的方法,并且具有良好的可扩展性;同时,注重通过对算法的改进降低了时间复杂度。通过高校大学生基本信息这种典型的异构数据转换进行了实例验证,较好地印证了本文的主要结果,具有良好的符合度。
Due to differences between the storage products, storage structures and storage forms, diversity and deviation exists in the results of data conversion. This paper presents a heterogeneous data conversion system which has three corresponding conversion modules with high cohesion and low coupling. The key technologies used to implement these modules is discussed, including the ira-proved algorithm and the adaptive data conversion template which has good scalability and can realize the automatic matching between the different types of source data and the corresponding conversion template. The functionality of the solution is verified through the conversion of a kind of typical het- erogeneous data which is collected from college students＇ basic information and it proves can meet the application requirements well.
出处
《中国民航飞行学院学报》
2013年第3期43-47,54,共6页
Journal of Civil Aviation Flight University of China
基金
中国民航飞行学院青年科研基金项目(XM0436)
关键词
异构数据
数据转换
自适应模板
工厂方法模式
Heterogeneous data Data conversion Adaptive template Factory methodpattern
