Data Representation and Reasoning
Publication date
2020
Document type
Sammelbandbeitrag oder Buchkapitel
Author
Seydoux, Nicolas
Editor
Davies, John
Fortuna, Carolina
Organisational unit
University of Bonn
ISBN
Book title
The Internet of Things : From Data to Insight
First page
79
Last page
90
Part of the university bibliography
Nein
Keyword
Data integration
data interoperability
Data reasoning
Data representation
Digital twin approach
Internet of things ontologies
Swot reference architecture
Abstract
Semantic technologies represent a promising approach to structured knowledge representation and reasoning. From a knowledge representation point of view, Internet of Things (IoT) is confronted with two main challenges associated with the use of data produced by interconnected Things - interoperability and integration. In order to support the evolution of IoT, this chapter introduces the IoT-O, providing the foundation for enabling interoperability and integration, and describes the digital twin approach, which enables the enhancing of physical IoT devices with auxiliary "digital" features. It also describes these two contributions within the scope of the Semantic Web of Things (SWoT) Reference Architecture. The chapter discusses three types of SWoT architecture participants: cloud resources, fog resources, and devices. Combining the concept of the digital twin with the provisioning of communication support enables the creation of SWoT-based architectural solutions, which enable the seamless participation of heterogeneous physical devices and software components in order to realize added-value applications. © 2020 John Wiley & Sons Ltd.
Cite as
Maria Maleshkova; Nicolas Seydoux, "Data Representation and Reasoning," in The Internet of Things: From Data to Insight, Wiley, 2020, pp.79-90, doi: 10.1002/9781119545293.ch7
Version
Published version
Access right on openHSU
Metadata only access