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A Conceptual Data Model and Its Automatic Implementation for IoT-Based Business Intelligence Applications
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DOI：10.1109/JIOT.2020.3016608.png)
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摘要
En 中文
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.
Keyword:
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)
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期刊
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8.9
论文数:
1.4W
被引数:
7.8W
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