Need and Relevance of Common
Vocabularies and Ontologies in IoT
Domain
Arunima Sharma and Ramesh Babu Battula
Abstract Data plays a foremost part in Future Communication. Internet of Things
encompasses various sources of data of different type, by different name. The
complexity and variance in data increase the criticalness of the model. Same data
has different meaning in different applications. These variances make it difficult to
apply any query on data. To resolve the issues in naming of data values and to create
consistency Vocabulary and Ontologies are must. Data gathered on a big platform
e.g. for IoT via cloud need to manage data in proper manner, which is spread all
over the internet on different servers. The features and related research is explained
in this chapter, having a brief introduction with application areas.
Keywords Semantic web · Ontology · Vocabulary · Internet of thing · IoT · Smart
city
1 Introduction
Internet of Things (IoT) brings a heterogeneus of technologies and devices together
to simplify the basic life of human beings. Smart Home, Traffic, Healthcare etc. are
some of the major areas using different IoT components. On basis of applications
we can consider IoT as a complex group of several devices, sensors and people who
interacts with each other and controlled by a centre control station. This interaction
or communication generates a large amount of data gathered from several source in
different formats. This data has various formats of data related to each other. Due
to complex relationship and variation this data is considered as heterogeneous data.
Heterogeneous data is complex with perspective of management, access and collection. On web, data is linked together on basis of some relationship and similarity. The
extension of World Wide Web which deal with related web pages, and extensions of
similar data is known as Semantic Web.
A. Sharma (B) · R. B. Battula
Department of Computer Science and Engineering, Malviya National Institute of Technology,
Jaipur, India
e-mail: aru.92@rediffmail.com
© 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_6
133
Vocabularies and Ontologies in IoT
Domain
Arunima Sharma and Ramesh Babu Battula
Abstract Data plays a foremost part in Future Communication. Internet of Things
encompasses various sources of data of different type, by different name. The
complexity and variance in data increase the criticalness of the model. Same data
has different meaning in different applications. These variances make it difficult to
apply any query on data. To resolve the issues in naming of data values and to create
consistency Vocabulary and Ontologies are must. Data gathered on a big platform
e.g. for IoT via cloud need to manage data in proper manner, which is spread all
over the internet on different servers. The features and related research is explained
in this chapter, having a brief introduction with application areas.
Keywords Semantic web · Ontology · Vocabulary · Internet of thing · IoT · Smart
city
1 Introduction
Internet of Things (IoT) brings a heterogeneus of technologies and devices together
to simplify the basic life of human beings. Smart Home, Traffic, Healthcare etc. are
some of the major areas using different IoT components. On basis of applications
we can consider IoT as a complex group of several devices, sensors and people who
interacts with each other and controlled by a centre control station. This interaction
or communication generates a large amount of data gathered from several source in
different formats. This data has various formats of data related to each other. Due
to complex relationship and variation this data is considered as heterogeneous data.
Heterogeneous data is complex with perspective of management, access and collection. On web, data is linked together on basis of some relationship and similarity. The
extension of World Wide Web which deal with related web pages, and extensions of
similar data is known as Semantic Web.
A. Sharma (B) · R. B. Battula
Department of Computer Science and Engineering, Malviya National Institute of Technology,
Jaipur, India
e-mail: aru.92@rediffmail.com
© 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_6
133