摘要
随着互联网技术和Web服务技术的发展,各个领域产生了大量种类各异的数据。这些数据采用不同的描述标准和使用方式,没有一个通用的数据模型来表示这些数据,导致异构数据之间难以共享,为此需要将数据封装成服务发布到互联网上,以数据服务的形式提供给用户。通过对面向异构数据源的数据服务理论进行研究,给出不同领域数据服务的概念、内容、特点和实现,并与传统Web服务和大数据服务进行了对比分析。研究表明,数据服务是解决大量异构数据源操作的有效方法。
With the development of technologies of Internet and Web services, a large number ofvarious data, using different description standards and use modes, are produced in different fields.Because there is no common data model to represent these data, the heterogeneous data are difficult to beshared. The data are encapsulated as service and posted on the Internet to provide data service for theusers. In this paper, the theory of data service for heterogeneous data sources is studied, and theconcept, the details, the characteristics and implementation of data services in all fields are given.Comparing with the traditional Web services and big data services, the research shows that the dataservice is effective to solve a large number of heterogeneous data operation.
出处
《微处理机》
2016年第4期43-47,共5页
Microprocessors
基金
西安邮电大学研究生创新项目(ZL2013-32)
