Semantic Techniques to Support IoT
Interoperability
Beniamino Di Martino and Antonio Esposito
Abstract Smart devices and sensors have reached a very high level of pervasiveness:
we are practically surrounded by intelligent items, which continuously communicate
with each other and collect information. One of the most challenging issues regarding
the use of such sensors regards the possibility to seamlessly make them interoperate
to reach a specific goal. This objective could be difficult to achieve, due to the lack of
a universally accepted standard for sensor communications. In this paper, we present
a prototype tool for the analysis of sensors’ API that, through a semantic graph
representation, tries to overcome the possible interoperability issues that may arise
in a sensor network, and provides instrument to support sensors’ orchestration and
management.
1 Introduction
In modern society IT technology has reached an unprecedent level of pervasiveness,
as sensors, smart devices and intelligent systems have become of extremely common use. Just think bout smartphones: these devices come with a large number of
embedded sensors, which are exploited by applications to deliver a variety of functionalities and services. The term “Internet of Things” (IoT) has surely become a
“buzz word”, as it ultimately represents the ubiquity of modern technologies and
their fusion with every-day life. IoT comes with many opportunities, as the application scenarios of such technology are almost limitless: traffic control and automotive,
domotics, health monitoring and patient caring, environmental monitoring are just
a few of the possible cases in which IoT can be usefully applied. However, as the
number of sensors’ and smart devices’ manufactures grows, together with the comB. Di Martino (B) · A. Esposito
Department of Engineering, University of Campania “Luigi Vanvitelli”, Aversa (CE), Italy
e-mail: beniamino.dimartino@unina.it
A. Esposito
e-mail: antonio.esposito@unicampania.it
B. Di Martino
Asia University, Taichung, Taiwan
© Springer Nature Switzerland AG 2021
R. Pandey et al. (eds.), Semantic IoT: Theory and Applications, Studies in Computational
Intelligence 941, https://doi.org/10.1007/978-3-030-64619-6_10
229
Interoperability
Beniamino Di Martino and Antonio Esposito
Abstract Smart devices and sensors have reached a very high level of pervasiveness:
we are practically surrounded by intelligent items, which continuously communicate
with each other and collect information. One of the most challenging issues regarding
the use of such sensors regards the possibility to seamlessly make them interoperate
to reach a specific goal. This objective could be difficult to achieve, due to the lack of
a universally accepted standard for sensor communications. In this paper, we present
a prototype tool for the analysis of sensors’ API that, through a semantic graph
representation, tries to overcome the possible interoperability issues that may arise
in a sensor network, and provides instrument to support sensors’ orchestration and
management.
1 Introduction
In modern society IT technology has reached an unprecedent level of pervasiveness,
as sensors, smart devices and intelligent systems have become of extremely common use. Just think bout smartphones: these devices come with a large number of
embedded sensors, which are exploited by applications to deliver a variety of functionalities and services. The term “Internet of Things” (IoT) has surely become a
“buzz word”, as it ultimately represents the ubiquity of modern technologies and
their fusion with every-day life. IoT comes with many opportunities, as the application scenarios of such technology are almost limitless: traffic control and automotive,
domotics, health monitoring and patient caring, environmental monitoring are just
a few of the possible cases in which IoT can be usefully applied. However, as the
number of sensors’ and smart devices’ manufactures grows, together with the comB. Di Martino (B) · A. Esposito
Department of Engineering, University of Campania “Luigi Vanvitelli”, Aversa (CE), Italy
e-mail: beniamino.dimartino@unina.it
A. Esposito
e-mail: antonio.esposito@unicampania.it
B. Di Martino
Asia University, Taichung, Taiwan
© Springer Nature Switzerland AG 2021
R. Pandey et al. (eds.), Semantic IoT: Theory and Applications, Studies in Computational
Intelligence 941, https://doi.org/10.1007/978-3-030-64619-6_10
229