事件跟踪应用的时空数据仓库

IF 0.5 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Information Science and Engineering Pub Date : 2022-01-01 DOI:10.6688/JISE.202211_38(6).0007

F. S. Tseng, Annie Y. H. Chou

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Spatiotemporal Data Warehousing for Event Tracking Applications

In this paper, we propose a multidimensional spatiotemporal modeling framework of data warehouse creation for tracing dynamic events in contemporary applications, like crowd contact tracing for Covid-19 prevention. Such a framework offers a natural and consistent solution for slowly changing dimension management. It provides a progressive evolution from traditional static data management to modern dynamic data analysis with spatiotemporal tracking capabilities for IoT applications. Based on such a framework, en-tity-centered resource integration and related business intelligence applications can be rig-orously developed, managed and properly tracked. © 2022 Institute of Information Science. All rights reserved.

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来源期刊

Journal of Information Science and Engineering 工程技术-计算机：信息系统

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

8 months

期刊介绍： The Journal of Information Science and Engineering is dedicated to the dissemination of information on computer science, computer engineering, and computer systems. This journal encourages articles on original research in the areas of computer hardware, software, man-machine interface, theory and applications. tutorial papers in the above-mentioned areas, and state-of-the-art papers on various aspects of computer systems and applications.