Authors:
Amanda D. P. Venceslau
1
;
Rossana M. C. Andrade
2
;
Vânia M. P. Vidal
2
;
Tales P. Nogueira
3
and
Valéria M. Pequeno
4
Affiliations:
1
Federal University of Ceará, Campus de Crateús, Crateús-CE and Brazil
;
2
Department of Computing, Federal University of Ceará, Campus do Pici, Fortaleza-CE and Brazil
;
3
Group of Computer Networks, Software Engineering and Systems (GREat), Federal University of Ceará, Campus do Pici, Fortaleza-CE and Brazil
;
4
TechLab, Departamento de Ciências e Tecnologias, Universidade Autónoma de Lisboa Luís de Camões and Portugal
Keyword(s):
Semantic Interoperability, IoT Semantic Interoperability, Semantic Web, Internet of Things, Ontology.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Cloud Computing
;
Collaboration and e-Services
;
Complex Systems Modeling and Simulation
;
Data Communication Networking
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Health Information Systems
;
Integration/Interoperability
;
Internet of Things
;
Interoperability
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Semantic Web Technologies
;
Sensor Networks
;
Services Science
;
Simulation and Modeling
;
Software Agents and Internet Computing
;
Software and Architectures
;
Symbolic Systems
;
Telecommunications
Abstract:
The Internet of Things (IoT) is a paradigm in which the Internet connects people and the environment using devices and services that are spread in the user daily routine. In this scenario, different agents, devices and services are able to exchange data and knowledge using a common vocabulary or mappings that represent and integrate heterogeneous sources. This semantic interoperability is facilitated by the Semantic Web that provides consolidated technologies, languages and standards, offering data and platforms interoperability. In this context, this work reviews and analyzes the state-of-the-art of IoT semantic interoperability, investigating and presenting not only which Semantic Web technologies are employed but also the challenges that support the studies in this area of research.