Data modeling of smart urban object networks

Michael Aleithe , Philipp Skowron , Bogdan Franczyk , Bjorn Sommer


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
Author Michael Aleithe
Michael Aleithe,,
, Philipp Skowron
Philipp Skowron,,
, Bogdan Franczyk (MISaF / IBI / DISD) - [inna]
Bogdan Franczyk,,
- Department of Information Systems Design
- inna
, Bjorn Sommer
Bjorn Sommer,,
Publication size in sheets0.5
Book Sheth Amit, Ngonga Axel, Wang Yin, Chang Elizabeth, Ślęzak Dominik, Franczyk Bogdan*, Alt Rainer, Tao Xiaohui, Unland Rainer (eds.): Web Intelligence '17. Proceedings of the International Conference on Web Intelligence, 2017, ACM New York, ISBN 978-1-4503-4951-2, 1264 p.
Keywords in Englishsmart urban object network, data model architecture, graph database, spatio temporal object graph
Languageen angielski
Aleithe_Skowron_Franczyk_Sommer_Data_Modeling_of_Smart_Urban2017.pdf 435,38 KB
Not used for evaluationyes
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