Semantic Web and IoT
5
and Ontology-based reasoning (Sect. 3.3). In Sect. 4 The Semantic Web of Things is
presented and how it augments the IoT.
2 Applications, Related Work and Research Challenges
in Semantic Web and IoT
In this section we describe relevant surveys on the research area. Also, we describe
the research challenges and the applications that Semantic Web can be combined with
IoT. How Semantic Web technologies help IoT systems to address different issues.
2.1 Applications on Different Domains
2.1.1 Smart Home
A useful guide on IoT applications for smart home can be found in [3]. It summarizes
the related work and systems of smart home applications using Internet of Things.
The articles examined were collected and created a taxonomy of four classes, formed
based on the content of the articles. Ramparany and Cao [4] deals with the issue of
data homogeneity in IoT applications. The authors propose a framework that uses
semantic technology to combine IoT data obtained from a smart home. The goal is to
utilize the data in order to recognize presence and abnormal activities. Huang et al.
[5] focuses on safety services of smart home applications and proposes a semantic
approach for recognizing risk events. Zolfaghari et al. [6] proposes an Ontologybased framework for activity recognition. The framework, named SOnAr, consists
of two approaches, that use ontologies for context-based activity recognition. In the
first approach, activities are recognized with the use of Ontology Web Languages for
reasoning. The second approach combines ontologies, statistics and Fuzzy Logic in
order to recognize more complex activities and overcome issues of scalability and
sensors’ noise.
2.1.2 Smart Cities
One of the most common and fast-growing concepts in information technology is
the smart city concept. The definitions and ideas used to characterize a smart city,
however, are just as numerous as the cities themselves. The word “smart city” is used
with various definitions because there is no specific description to match all of them.
In fact, a smart city is known as a network of heterogeneous systems that should be
connected with each other, be orchestrated and also be intelligent. In order to provide
interoperability between such large and diverse systems several common knowledge
representation models are used [7].
5
and Ontology-based reasoning (Sect. 3.3). In Sect. 4 The Semantic Web of Things is
presented and how it augments the IoT.
2 Applications, Related Work and Research Challenges
in Semantic Web and IoT
In this section we describe relevant surveys on the research area. Also, we describe
the research challenges and the applications that Semantic Web can be combined with
IoT. How Semantic Web technologies help IoT systems to address different issues.
2.1 Applications on Different Domains
2.1.1 Smart Home
A useful guide on IoT applications for smart home can be found in [3]. It summarizes
the related work and systems of smart home applications using Internet of Things.
The articles examined were collected and created a taxonomy of four classes, formed
based on the content of the articles. Ramparany and Cao [4] deals with the issue of
data homogeneity in IoT applications. The authors propose a framework that uses
semantic technology to combine IoT data obtained from a smart home. The goal is to
utilize the data in order to recognize presence and abnormal activities. Huang et al.
[5] focuses on safety services of smart home applications and proposes a semantic
approach for recognizing risk events. Zolfaghari et al. [6] proposes an Ontologybased framework for activity recognition. The framework, named SOnAr, consists
of two approaches, that use ontologies for context-based activity recognition. In the
first approach, activities are recognized with the use of Ontology Web Languages for
reasoning. The second approach combines ontologies, statistics and Fuzzy Logic in
order to recognize more complex activities and overcome issues of scalability and
sensors’ noise.
2.1.2 Smart Cities
One of the most common and fast-growing concepts in information technology is
the smart city concept. The definitions and ideas used to characterize a smart city,
however, are just as numerous as the cities themselves. The word “smart city” is used
with various definitions because there is no specific description to match all of them.
In fact, a smart city is known as a network of heterogeneous systems that should be
connected with each other, be orchestrated and also be intelligent. In order to provide
interoperability between such large and diverse systems several common knowledge
representation models are used [7].