摘要
随着信息技术的迅猛发展,数据具有规模大、来源形式多样,跨平台、跨语言、跨结构等特征,如何使这些数据互相理解,实现数据的可利用价值面临着重大挑战。为解决这个问题,关键在于数据的融合。文章研究了资源组成与构建,数据通信的网络架构以及数据的抽取和集成,实现有价值的数据及大数据平台可以提供多种应用。
Along with the rapid development of information technology,there are a lot of data performance,such as large scale,various source and form,across platform,across different languages,and across structure. It is a significant challenge how to make these data to understand each other,and realize their available value. The paper believes that the key problem lies in data fusion,and studies resources and their construction,the architecture of data communication network,data extraction and integration,then realizes valuable data. Big data fusion can realize multiple application.
作者
刘敏
LIU Min(Meizhouwan College of Vocational Technology,Putian,Fujian,351254,China)
出处
《辽宁科技学院学报》
2018年第3期10-12,共3页
Journal of Liaoning Institute of Science and Technology
基金
福建省教育厅科技B类课题"即时响应系统在职业教育中的应用研究"(JB13368)
