Data modeling of smart urban object networks
Michael Aleithe , Philipp Skowron , Bogdan Franczyk , Bjorn Sommer
AbstractIn 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
|Publication size in sheets||0.5|
|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 English||smart urban object network, data model architecture, graph database, spatio temporal object graph|
|Not used for evaluation||yes|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.