Fuzzy spatio-temporal data modeling based on XML schema
Fuzzy spatio-temporal data modeling based on XML schema
复制标题
DOI：
10.2298/fil1805663c
复制
发表时间：
2018
期刊：
影响因子：
0.8
通讯作者：
Xu Chen;Li Yan;Weijun Li;Fu Zhang
中科院分区：
文献类型：
--
作者：
Xu Chen;Li Yan;Weijun Li;Fu Zhang
随着互联网和大数据应用的快速发展，需要处理海量的时空数据。要对时空数据进行管理，关键是建立正确的数据模型。在真实的世界中存在着大量的模糊时空信息，XML已成为Web环境下处理各种信息的有效技术。本文通过对XML Schema的扩展，对模糊时空数据树进行了研究，提出了一种基于XML的模糊时空数据模型。最后，我们使用气象数据来说明模型的有效性和可用性。
With the rapid development of Internet and Big data applications, massive time and space data need to be processed. In order to manage space and time data, the key point is to build a correct data model. There are a lot of fuzzy temporal and spatial information in the real world, and XML has been a useful technology for dealing with various information in the context of Web. In this paper, we first study the fuzzy spatio-temporal data tree by extending the XML Schema and then propose a fuzzy spatio-temporal data model based on XML. Finally, we use the meteorological data to illustrate the validity and usability of the model.