Paper Info
Title
A Conceptual Data Model And Its Automatic Implementation For Iot-Based Business Intelligence Applications
Abstract
In the context of Industry 4.0, the analysis of Internet-of-Things (IoT) data with business intelligence (BI) technologies has acquired high relevance. However, designing and implementing IoT-based BI applications is hard for several reasons. Therefore, we propose a novel conceptual data model based on UML profiles and model-driven architecture (MDA) for modeling and implementing IoT-based BI applications. Our approach provides highly readable data models of IoT, which are also compatible with traditional BI data models. Furthermore, it could help in the implementation process of the IoT subsystem through automatic code generation.
Year
DOI
Venue
2020
10.1109/JIOT.2020.3016608
IEEE INTERNET OF THINGS JOURNAL
Keywords
DocType
Volume
Data models, Unified modeling language, Irrigation, Internet of Things, Business intelligence, Temperature sensors, Automatic implementation, business intelligence (BI), data centric, Internet of Things (IoT), model-driven architecture (MDA), smart farming, UML profile, wireless sensor networks (WSNs)
Journal
7
Issue
ISSN
Citations 
10
2327-4662
0
PageRank 
References 
Authors
0.34
0
9
Name
Order
Citations
PageRank
Julian Eduardo Plazas101.69
Sandro Bimonte223644.43
Christophe De Vaulx3116.90
Michel Schneider4313.49
Quang-Duy Nguyen500.34
Jean-Pierre Chanet601.35
Hongling Shi7124.31
Kun Mean Hou84515.51
Juan Carlos Corrales918726.89