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
F. S. Tseng, Annie Y. H. Chou
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引用次数: 0

摘要

在本文中,我们提出了一个多维时空建模框架的数据仓库创建跟踪动态事件在当代应用,如人群接触者追踪预防Covid-19。这样的框架为缓慢变化的维度管理提供了自然而一致的解决方案。它提供了从传统静态数据管理到现代动态数据分析的渐进演变,具有物联网应用的时空跟踪功能。基于这样的框架,可以严格地开发、管理和适当地跟踪以实体为中心的资源集成和相关的业务智能应用程序。©2022信息科学研究所。版权所有。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
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
4
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.
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