Semantic Web Languages for Policy Enforcement in the Internet of Things

Web Technologies ◽

Real Time Data ◽

Industry 4.0 is a technology-driven manufacturing process that heavily relies on technologies, such as the internet of things (IoT), cloud computing, web services, and big real-time data. Industry 4.0 has significant potential if the challenges currently being faced by introducing these technologies are effectively addressed. Some of these challenges consist of deficiencies in terms of interoperability and standardization. Semantic Web technologies can provide useful solutions for several problems in this new industrial era, such as systems integration and consistency checks of data processing and equipment assemblies and connections. This paper discusses what contribution the Semantic Web can make to Industry 4.0.

Semantic Web Technologies for the Internet of Things: Systematic Literature Review

Internet of Things ◽

10.1016/j.iot.2020.100206 ◽

2020 ◽

Vol 11 ◽

pp. 100206

Author(s):

Ahlem Rhayem ◽

Mohamed Ben Ahmed Mhiri ◽

Faiez Gargouri

Keyword(s):

Internet Of Things ◽

Literature Review ◽

Semantic Web ◽

Systematic Literature Review ◽

The Internet ◽

Web Technologies ◽

Critical Research on Scalability and Security Issues in Virtual Cloud Environments - Advances in Information Security, Privacy, and Ethics ◽

Security Issues in the Internet of Things

10.4018/978-1-5225-3029-9.ch009 ◽

2018 ◽

pp. 186-200 ◽

Cited By ~ 2

Author(s):

Muneer Bani Yassein ◽

Wail Mardini ◽

Amnah Al-Abdi

Keyword(s):

Internet Of Things ◽

Access Control ◽

Data Communication ◽

The Internet ◽

Policy Enforcement ◽

Privacy Policy ◽

Everyday Objects ◽

Security Issues ◽

Communication Paradigm ◽

Internet of Things (IoT) is one of the most active and hot topics these days in which most of our everyday objects are connected with each other over internal and external networks. As in any data communication paradigm there are security aspects that should be taken care of. The traditional security mechanisms are usually not applicable in IoT because there are different standards involved, this make the security preservation is one of the main challenges in IoT. According to previous surveys, there are many of security issues in regards to IoT. In this chapter, five issues from the security issues in IoT are discussed; Access Control, Authentication, Privacy, Policy Enforcement, and Trust. After that, major proposed solutions from the literature is listed and compared according to the strength and weakness points for each of them.

A Survey on Challenges of Semantics Application in the Internet of Things Domain

Applied Computer Systems ◽

10.1515/acss-2017-0002 ◽

2017 ◽

Vol 21 (1) ◽

pp. 13-21 ◽

Cited By ~ 6

Author(s):

Marina Harlamova ◽

Mārīte Kirikova ◽

Kurt Sandkuhl

Keyword(s):

Internet Of Things ◽

Semantic Web ◽

The Internet ◽

Complex Nature ◽

Semantic Technologies ◽

Present Survey ◽

Communication Approach ◽

Research On Application ◽

The Internet Of Things ◽

Technology Area

AbstractThe Internet of Things (IoT), a global Internet-based system of computing devices and machines, is one of the most significant trends in the information technology area. An accepted unified communication approach would be a prerequisite for its mass adoption. Semantic technologies (Semantic Web) have been advocated as enablers of unified communication. However, while there are particular advancements in research on application of Semantic Web in the IoT domain, the dynamic and complex nature of the IoT often requires case specific solutions hard to be applied widely. In the present survey, the semantic technology challenges in the IoT domain are amalgamated to provide background for further studies in the use of semantic technologies in the IoT.

Enabling Interoperability in the Internet of Things

International Journal on Semantic Web and Information Systems ◽

10.4018/ijswis.2017010109 ◽

2017 ◽

Vol 13 (1) ◽

pp. 147-167 ◽

Cited By ~ 12

Author(s):

Alfredo D'Elia ◽

Fabio Viola ◽

Luca Roffia ◽

Paolo Azzoni ◽

Tullio Salmon Cinotti

Keyword(s):

Internet Of Things ◽

Semantic Web ◽

Smart Cities ◽

The Internet ◽

Public Authorities ◽

Web Technologies ◽

Data Store ◽

Rdf Graphs ◽

Semantic Web technologies act as an interoperability glue among different formats, protocols and platforms, providing a uniform vision of heterogeneous devices and services in the Internet of Things (IoT). Semantic Web technologies can be applied to a broad range of application contexts (i.e., industrial automation, automotive, health care, defense, finance, smart cities) involving heterogeneous actors (i.e., end users, communities, public authorities, enterprises). Smart-M3 is a semantic publish-subscribe software architecture conceived to merge the Semantic Web and the IoT domains. It is based on a core component (SIB, Semantic Information Broker) where data is stored as RDF graphs, and software agents using SPARQL to update, retrieve and subscribe to changes in the data store. This article describes a OSGi SIB implementation extended with a new persistent SPARQL update primitive. The OSGi SIB performance has been evaluated and compared with the reference C implementation. Eventually, a first porting on Android is presented.

Ontologies and Semantic Web for the Internet of Things - a survey

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon.2016.7793744 ◽

2016 ◽

Cited By ~ 21

Author(s):

Ioan Szilagyi ◽

Patrice Wira

Keyword(s):

Internet Of Things ◽

Semantic Web ◽

The Internet ◽

2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC) ◽

A Survey on Semantic Web Technologies for the Internet of Things

10.1109/ctceec.2017.8454974 ◽

2017 ◽

Cited By ~ 1

Author(s):

K N Prashanth Kumar ◽

V Ravi Kumar ◽

K Raghuveer

Keyword(s):

Internet Of Things ◽

Semantic Web ◽

The Internet ◽

Web Technologies ◽

An Extensible Data Enrichment Scheme for Providing Intelligent Services in Internet of Things Environments

Mobile Information Systems ◽

10.1155/2021/5535231 ◽

2021 ◽

Vol 2021 ◽

pp. 1-18

Author(s):

Yoosang Park ◽

Jongsun Choi ◽

Jaeyoung Choi

Keyword(s):

Internet Of Things ◽

Semantic Web ◽

Real World ◽

The Internet ◽

Context Information ◽

Data Abstraction ◽

The Real ◽

Data Enrichment ◽

Information Sets ◽

Recent technologies in the Internet of Things (IoT) environment aim to provide intelligent services to users. Intelligent services can be managed and executed by systems that handle context information sets. Handling intelligent services leads to three major considerations: objects in the real world that should be described as metadata, a data enrichment procedure from sensing values for representing states, and controlling functionalities to manage services. In this study, an extensible data-enrichment scheme is proposed. The proposed scheme provides a way to describe profiles, data abstraction procedures, and functionalities that support the building of context information sets derived from raw datasets in the manner of a semantic web stack. Finally, data enrichment will help any system that uses context information by providing improved, understandable, and readable datasets to the service developers or the systems themselves.