Data Modeling of Smart Urban Object Networks

被引：1

作者：

Aleithe, M. ^{[1
]}

Skowron, P. ^{[1
]}

Franczyk, B. ^{[1
]}

Sommer, B. ^{[2
]}

机构：

[1] Univ Leipzig, Leipzig, Germany

[2] Drees & Sommer, Cologne, Germany

来源：

2017 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE (WI 2017) | 2017年

关键词：

smart urban object network; data model architecture; graph database; spatio temporal object graph; LANGUAGE;

D O I：

10.1145/3106426.3117759

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

下载

页码：1104 / 1109

页数：6

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