Enabling smart environments through scalable policy reasoning and Internet of Things

In this paper, we discuss how to combine ontology‐based policy reasoning mechanisms with in‐use Internet of Things applications to customize and automate device behaviors. We discuss how the policy framework can be extended with data federation to handle diverse and distributed data sources. We demo...

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Bibliographic Details
Published in:Wiley interdisciplinary reviews. Data mining and knowledge discovery 2019-03, Vol.9 (2), p.e1290-n/a
Main Authors: Göynügür, Emre, Şensoy, Murat, Mel, Geeth
Format: Article
Language:English
Subjects:
Artificial intelligence
Coal mines
Computation
device behaviors
Electronic devices
federated data
Hazardous areas
Internet of Things
IoT
Knowledge representation
ODBA
ontology
planning
policy reasoning
Reasoning
Semantic Web
Smart buildings
smart environments
Smart sensors
Workplaces
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Summary:In this paper, we discuss how to combine ontology‐based policy reasoning mechanisms with in‐use Internet of Things applications to customize and automate device behaviors. We discuss how the policy framework can be extended with data federation to handle diverse and distributed data sources. We demonstrate that smart devices and sensors can be orchestrated through policies in diverse settings, from smart home environments to hazardous workplaces, such as coal mines. Lastly, we evaluate our approach using real applications with real data and demonstrate that it is scalable under high load of data and devices. This article is categorized under: Technologies > Computational Intelligence Application Areas > Science and Technology Fundamental Concepts of Data and Knowledge > Knowledge Representation Technologies > Computational Intelligence Overview of the experimental setup utilizing OBDA
ISSN:1942-4787
1942-4795
DOI:10.1002/widm.1290