智慧城市对象网络的数据建模

Michael Aleithe, P. Skowron, Bogdan Franczyk, B. Sommer
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引用次数: 3

摘要

在数字时代,研究是由数据驱动的,了解所有涉及的研究领域变得越来越重要。理解跨学科研究和超越领域界限的各种数据源是一个重要的核心能力。所有参与者都应该对重要信息有相同的理解,这些信息可以从不同的数据源中创建。基于这一事实,本文展示了一种基于智能城市对象生成统一数据模型的建模方法。这些智能对象由相互连接的数据结构表示,这是物联网背景下的一个主要例子。此外,还将演示图形数据库Neo4J的实现以及超越领域边界的数据源直观结构的相关可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data modeling of smart urban object networks
In the digital age, where research is data-driven, understanding all involved fields of research becomes more and more important. Understanding various data sources within interdisciplinary research and beyond domain boundaries is a significant core competency. All participants should have a same-level understanding of significant information, which can be created from various data sources. Based on this fact, the paper at hand demonstrates a modeling approach for the generation of a unified data model in terms of smart urban objects. These smart objects are represented by interconnected data structures which is a prime example in context of Internet of Things. Further, an implementation of the graph database Neo4J and a correlated visualization of intuitive structuring of data sources beyond domain boundaries will be demonstrated.
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