Using Semantic Web for Internet of Things Interoperability

2018 ◽  
Vol 14 (4) ◽  
pp. 147-171 ◽  
Author(s):  
Darko Andročec ◽  
Matija Novak ◽  
Dijana Oreški
Keyword(s):  
Internet Of Things ◽  
Research Field ◽  
Research Articles ◽  
The Internet ◽  
Maturity Level ◽  
Main Research ◽  
Research Questions ◽  
Seamless Connection ◽  
Future Work ◽  
The Internet Of Things

The main vision of the Internet of Things (IoT) is to enable seamless connection between physical devices and information systems to improve the lives of people. One of the main obstacles to achieve this vision is the current lack of IoT interoperability. In this article, the authors are giving an overview on how semantics is used in IoT interoperability related research. To do this, they performed a systematic literature review and extracted data from 105 selected primary studies dealing with semantics in IoT interoperability. The authors have analysed the maturity level of this research field and when and where the relevant works were published. This article answers five main research questions about the following issues: what are semantics used for; what types of ontologies exist (which are used to give semantical descriptions); what are the main themes and suggestions for future work in these research articles; and what are other related areas.

scholarly journals Development of Technological Capabilities through the Internet of Things (IoT): Survey of Opportunities and Barriers for IoT Implementation in Portugal’s Agro-Industry

2021 ◽  
Vol 11 (8) ◽  
pp. 3454
Author(s):  
Pedro D. Gaspar ◽  
Carlos M. Fernandez ◽  
Vasco N. G. J. Soares ◽  
João M. L. P. Caldeira ◽  
Hélio Silva
Keyword(s):  
Sustainable Development ◽  
Internet Of Things ◽  
Industrial Sector ◽  
The Internet ◽  
Meat Production ◽  
Maturity Level ◽  
Scarce Resources ◽  
Management Of Resources ◽  
Increase Productivity ◽  
The Internet Of Things

The agro-industrial sector consumes a significant amount of natural resources for farming and meat production. By 2050, population growth is expected, generating more demand and, consequently, more consumption of scarce resources. This challenging scenario is a concern of the European Commission, revealed in the Green Deal commitment and by the United Nations’ 12th goal of sustainable development. Thus, organizations must increase productivity and be more sustainable as soon as possible. Internet of Things (IoT) is introduced as a solution to facilitate agro-food companies to be more eco-efficient, mainly facing difficulties on farms, such as food loss and waste, best efficiency in management of resources, and production. The deployment of this technology depends on the stage of maturity and potential of implementation. To assess and characterize companies, with respect of IoT implementation, a survey was applied in 21 micro, small and medium agro-food companies, belonging to milk, honey, olive oil, jams, fruticulture, bakery and pastry, meat, coffee, and wine sectors, in the central region of Portugal. As results, this paper reveals the stage of maturity, level of sophistication, potential, opportunities, solutions, and barriers for implementation of IoT. Additionally, suggestions and recommendations to improve practices are discussed.

scholarly journals TRUST MANAGEMENT OF COMMUNICATION ARCHITECTURES OF INTERNET OF THINGS

2019 ◽  
Vol 2019 (02) ◽  
pp. 121-130 ◽  
Author(s):  
Dr. Wang Haoxiang
Keyword(s):  
Internet Of Things ◽  
Information Exchange ◽  
Trust Management ◽  
The Internet ◽  
Trust System ◽  
Proposed Model ◽  
Communication Architectures ◽  
Block Chain ◽  
Seamless Connection ◽  
The Internet Of Things

The Internet of things is the basic paradigm with the cluster of techniques that ensure innovations in the service rendered in various applications. It aims to develop a seamless connection between the tangible objects around and the information network in turn to provide a well-structured servicing to its users. Though the IOT service seems to be promising, the risks still prevail in the form of privacy and the security in user acceptance in utilizing the internet of things services, and its application. This makes the trust management very important for the internet of things. So the paper puts forth the distributed block chain involved trust system to manage the conveyance infrastructures of the internet of things paradigm. The evaluation of the proposed model evinces the enhanced security provided for the nodes of the IOT as well as its information exchange.

scholarly journals Ownership of personal data in the Internet of Things

2019 ◽  
Author(s):  
Vaclav Janecek
Keyword(s):  
Internet Of Things ◽  
Personal Information ◽  
Personal Data ◽  
The Internet ◽  
Eu Law ◽  
Top Down ◽  
Advantages And Disadvantages ◽  
Policy Debates ◽  
Future Work ◽  
The Internet Of Things

This article analyses, defines, and refines the concepts of ownership and personal data to explore their compatibility in the context of EU law. It critically examines the traditional dividing line between personal and non-personal data and argues for a strict conceptual separation of personal data from personal information. The article also considers whether, and to what extent, the concept of ownership can be applied to personal data in the context of the Internet of Things (IoT). This consideration is framed around two main approaches shaping all ownership theories: a bottom-up and top-down approach. Via these dual lenses, the article reviews existing debates relating to four elements supporting introduction of ownership of personal data, namely the elements of control, protection, valuation, and allocation of personal data. It then explores the explanatory advantages and disadvantages of the two approaches in relation to each of these elements as well as to ownership of personal data in IoT at large. Lastly, the article outlines a revised approach to ownership of personal data in IoT that may serve as a blueprint for future work in this area and inform regulatory and policy debates.

scholarly journals Blockchain and Internet of Things in Higher Education.pdf

2020 ◽  
Author(s):  
Tanweer Alam ◽  
Mohamed Benaida
Keyword(s):  
Internet Of Things ◽  
Mobile Communications ◽  
High Speed ◽  
Wireless Networking ◽  
Research Area ◽  
The Internet ◽  
Web Pages ◽  
Main Research ◽  
Iot Platform ◽  
The Internet Of Things

Building the innovative blockchain-based architecture across the Internet of Things (IoT) platform for the education system could be an enticing mechanism to boost communication efficiency within the 5 G network. Wireless networking would have been the main research area allowing people to communicate without using the wires. It was established at the start of the Internet by retrieving the web pages to connect from one computer to another computer Moreover, high-speed, intelligent, powerful networks with numerous contemporary technologies, such as low power consumption, and so on, appear to be available in today's world to connect among each other. The extension of fog features on physical things under IoT is allowed in this situation. One of the complex tasks throughout the area of mobile communications would be to design a new virtualization framework based on blockchain across the Internet of Things architecture. The goal of this research is to connect a new study for an educational system that contains Blockchain to the internet of things or keeping things cryptographically secure on the internet. This research combines with its improved blockchain and IoT to create an efficient interaction system between students, teachers, employers, developers, facilitators and accreditors on the Internet. This specified framework is detailed research's great estimation.

scholarly journals Study on Internet of Things Industry Based on Patent Data

2019 ◽  
Vol 2 (3) ◽  
pp. p10
Author(s):  
Liping Zhi ◽  
Zhao Sijia
Keyword(s):  
Internet Of Things ◽  
Development Trend ◽  
The Internet ◽  
Strategic Information ◽  
Main Research ◽  
Technology Leaders ◽  
Development And Utilization ◽  
Leading Enterprises ◽  
The Development Trend ◽  
The Internet Of Things

Based on patent database, this article conducts patent analysis from patent applications, IPC technical field distribution, the main research institutions of the Internet of Things to reveal the development trend, technical hotspots, leading enterprises, technology leaders, also maps current technology patents, and access to essential strategic information and innovation. The results put forward suggestions on development and utilization of the Internet of Things.

scholarly journals Blockchain and Internet of Things in Higher Education

2020 ◽  
Author(s):  
Tanweer Alam ◽  
Mohamed Benaida
Keyword(s):  
Internet Of Things ◽  
Mobile Communications ◽  
High Speed ◽  
Wireless Networking ◽  
Research Area ◽  
The Internet ◽  
Web Pages ◽  
Main Research ◽  
5G Network ◽  
The Internet Of Things

Building the innovative blockchain-based architecture across the Internet of Things (IoT) platform for the education system could be an enticing mechanism to boost communication efficiency among all participants within the 5G network. Wireless networking would have been the main research area allowing people to communicate without using the wires. It was established at the start of the Internet by retrieving the web pages to connect from one computer to another. Moreover, high-speed, intelligent, powerful networks with numerous contemporary technologies, such as low power consumption, and so on, appear to be available in today's world to connect among each other. The cloud features on physical things under IoT is allowed to store and process IoT and Blockchain data in any situation. One of the complex tasks throughout the area of mobile communications would be to design a new virtualization framework based on blockchain across the Internet of Things architecture. The goal of this research is to connect a new study for an educational system that contains Blockchain to the internet of things or keeping things cryptographically secure on the Internet. This research combines with its improved blockchain and IoT to create an efficient interaction system among students, teachers, employers, developers, facilitators, recruiters, and accreditors on the Internet. This specified framework is detailed research's great estimation.

scholarly journals A case study of the benefits of the IoT in the Qatari retail industry

2021 ◽  
Vol 24 (1) ◽  
pp. 86-107
Author(s):  
Nayef Al-Nabet
Keyword(s):  
Internet Of Things ◽  
Business Processes ◽  
Driving Forces ◽  
Environmental Benefits ◽  
Retail Industry ◽  
The Internet ◽  
Structured Interviews ◽  
Main Research ◽  
Iot Devices ◽  
The Internet Of Things

Technological advancements have led to the creation of new paradigms like the Internet of Things (IoT). These technologies are moving the digital space into a period where they will power billions of devices leading to the transformations of products and services provided by businesses. Therefore, the main purpose of this study is to explore the benefits of deployment of the Internet of Things (IoT) in businesses using the case of the Qatari retail businesses. The study assumed an interpretivism research philosophical stance and an addictive approach to theory utilising the Technology, Organisation, Environment model to guide the research. The research data were gathered using a qualitative approach utilising semi-structured interviews as the method of data collection. Accordingly, the heads of information technology in the selected retail industry businesses in Qatar were interviewed to answer the main research questions. The findings uncovered that retailers in Qatar are using the IoT devices such as sensors, scanners, beacons, smart shelves, personalisation alerts, and FRIDs to enable their key business operations and processes. Even though the Qatar retail businesses are not concerned about the specific IoT devices utilised, the benefits of their deployment established from the study include automation of business processes (Technological benefits), efficiency and personalisation of customer requirements (Organisational benefits), and increased collaboration and supply chain optimisation within the entire Qatar retail industry (Environmental benefits). As such, the results of the study agree with the TOE model that technology, organisation, and environment are the driving forces behind technology adoption and utilisation. Finally, among practical implications, a collaboration between software developers and the retail industry project professionals will ensure that the IoT artefacts are designed with security mechanisms, thus enhancing the security and safety of the information gathered from the IoT devices. Further, the study offers guidance on the theoretical elements that contribute to the benefits of utilising the IoT in Qatar retail businesses.

scholarly journals ONGOING CHALLENGES AND RESEARCH OPPORTUNITIES IN INTERNET OF THINGS (IOT)

2020 ◽  
Vol 5 (2) ◽  
pp. 216-222
Author(s):  
Sachin Upadhyay
Keyword(s):  
Information Security ◽  
Internet Of Things ◽  
General Information ◽  
Handheld Devices ◽  
The Internet ◽  
Security Challenges ◽  
The Future ◽  
In Transit ◽  
Future Work ◽  
The Internet Of Things

The Internet of Things (IoT) opens opportunities for handheld devices, home appliances, and software to share and communicate information on the Internet. Advances in the areas of embedded systems, computing, and networking are leading to an infrastructure composed of millions of heterogeneous devices. These devices will not simply convey information but process it in transit, connect peer to peer, and form advanced collaborations. This “Internet of Things (IoT)” infrastructure will be strongly integrated with the environment. This paper focuses on researching on the architecture and technology of Internet of Things. Moreover, the applications of Internet of Things are interpreted in this paper. We begin with general information security background of IoT and continue on with information security related challenges that IoT will encountered. Finally, we will also point out research directions that could be the future work for the solutions to the security challenges that IoT encounters. The future is Internet of Things, which will transform the real world objects into intelligent virtual objects.

scholarly journals An Adaptive Deep Learning Framework for Dynamic Image Classification in the Internet of Things Environment

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5811
Author(s):  
Syed Muslim Jameel ◽  
Manzoor Ahmed Hashmani ◽  
Mobashar Rehman ◽  
Arif Budiman
Keyword(s):  
Deep Learning ◽  
Internet Of Things ◽  
Image Classification ◽  
The Internet ◽  
Learning Approaches ◽  
Dynamic Image ◽  
Learning Framework ◽  
Internet Of Things Environment ◽  
Future Work ◽  
The Internet Of Things

In the modern era of digitization, the analysis in the Internet of Things (IoT) environment demands a brisk amalgamation of domains such as high-dimension (images) data sensing technologies, robust internet connection (4 G or 5 G) and dynamic (adaptive) deep learning approaches. This is required for a broad range of indispensable intelligent applications, like intelligent healthcare systems. Dynamic image classification is one of the major areas of concern for researchers, which may take place during analysis under the IoT environment. Dynamic image classification is associated with several temporal data perturbations (such as novel class arrival and class evolution issue) which cause a massive classification deterioration in the deployed classification models and make them in-effective. Therefore, this study addresses such temporal inconsistencies (novel class arrival and class evolution issue) and proposes an adapted deep learning framework (ameliorated adaptive convolutional neural network (CNN) ensemble framework), which handles novel class arrival and class evaluation issue during dynamic image classification. The proposed framework is an improved version of previous adaptive CNN ensemble with an additional online training (OT) and online classifier update (OCU) modules. An OT module is a clustering-based approach which uses the Euclidean distance and silhouette method to determine the potential new classes, whereas, the OCU updates the weights of the existing instances of the ensemble with newly arrived samples. The proposed framework showed the desirable classification improvement under non-stationary scenarios for the benchmark (CIFAR10) and real (ISIC 2019: Skin disease) data streams. Also, the proposed framework outperformed against state-of-art shallow learning and deep learning models. The results have shown the effectiveness and proven the diversity of the proposed framework to adapt the new concept changes during dynamic image classification. In future work, the authors of this study aim to develop an IoT-enabled adaptive intelligent dermoscopy device (for dermatologists). Therefore, further improvements in classification accuracy (for real dataset) is the future concern of this study.

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