Semantic Web of Things for Industry 4.0

Semantic Web ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 885-886
Author(s):  
Dhavalkumar Thakker ◽  
Pankesh Patel ◽  
Muhammad Intizar Ali ◽  
Tejal Shah
Keyword(s):  
Semantic Web ◽  
Industry 4.0 ◽  
State Of The Art ◽  
The State ◽  
Special Issue ◽  
Semantic Web Technologies ◽  
Web Of Things ◽  
Web Technologies

Welcome to this special issue of the Semantic Web (SWJ) journal. The special issue compiles four technical contributions that significantly advance the state-of-the-art in Semantic Web of Things for Industry 4.0 including the use of Semantic Web technologies and techniques in Industry 4.0 solutions.

Building Integrative Enterprise Knowledge Portals with Semantic Web Technologies

2005 ◽  
pp. 146-188 ◽  
Author(s):  
Torsten Priebe
Keyword(s):  
Information Retrieval ◽  
Semantic Web ◽  
State Of The Art ◽  
Content Management ◽  
The State ◽  
The Internet ◽  
Semantic Web Technologies ◽  
Research Results ◽  
Web Technologies ◽  
Integration Approach

The goal of this chapter is to show how Semantic Web technologies can help build integrative enterprise knowledge portals. Three main areas are identified: content management and metadata, global searching, and the integration of external content and applications. For these three areas the state-of-the-art as well as current research results are discussed. In particular, a metadata-based information retrieval and a context-based port let integration approach are presented. These have been implemented in a research prototype which is introduced in the Internet session at the end of the chapter.

How Industry 4.0 Can Benefit From Semantic Web Technologies and Artefacts

2021 ◽  
Vol 13 (4) ◽  
pp. 64-74
Author(s):  
Leila Zemmouchi-Ghomari
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Semantic Web ◽  
Industry 4.0 ◽  
The Internet ◽  
Time Data ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Real Time Data ◽  
The Internet Of Things

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.

Mini-ME Matchmaker and Reasoner for the Semantic Web of Things

2018 ◽  
pp. 262-294 ◽  
Author(s):  
Floriano Scioscia ◽  
Michele Ruta ◽  
Giuseppe Loseto ◽  
Filippo Gramegna ◽  
Saverio Ieva ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Decision Support ◽  
Semantic Web ◽  
Knowledge Bases ◽  
Semantic Web Technologies ◽  
Experimental Performance ◽  
Web Of Things ◽  
Web Technologies ◽  
Constrained Environments ◽  
And Performance

The Semantic Web of Things (SWoT) aims to support smart semantics-enabled applications and services in pervasive contexts. Due to architectural and performance issues, most Semantic Web reasoners are often impractical to be ported: they are resource consuming and are basically designed for standard inference tasks on large ontologies. On the contrary, SWoT use cases generally require quick decision support through semantic matchmaking in resource-constrained environments. This paper describes Mini-ME (the Mini Matchmaking Engine), a mobile inference engine designed from the ground up for the SWoT. It supports Semantic Web technologies and implements both standard (subsumption, satisfiability, classification) and non-standard (abduction, contraction, covering, bonus, difference) inference services for moderately expressive knowledge bases. In addition to an architectural and functional description, usage scenarios and experimental performance evaluation are presented on PC (against other popular Semantic Web reasoners), smartphone and embedded single-board computer testbeds.

scholarly journals Weaving a Semantic Web of Credibility Reviews for Explainable Misinformation Detection (Extended Abstract)

2021 ◽  
Author(s):  
Ronald Denaux ◽  
Martino Mensio ◽  
Jose Manuel Gomez-Perez ◽  
Harith Alani
Keyword(s):  
Deep Learning ◽  
Semantic Web ◽  
Computational Model ◽  
State Of The Art ◽  
Learning Systems ◽  
Learning Models ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Detection Systems ◽  
Wide Range

This paper summarises work where we combined semantic web technologies with deep learning systems to obtain state-of-the art explainable misinformation detection. We proposed a conceptual and computational model to describe a wide range of misinformation detection systems based around the concepts of credibility and reviews. We described how Credibility Reviews (CRs) can be used to build networks of distributed bots that collaborate for misinformation detection which we evaluated by building a prototype based on publicly available datasets and deep learning models.

scholarly journals Editorial: Special issue on Semantic Web for Cultural Heritage

Semantic Web ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 163-167
Author(s):  
Antonis Bikakis ◽  
Eero Hyvönen ◽  
Stéphane Jean ◽  
Béatrice Markhoff ◽  
Alessandro Mosca
Keyword(s):  
Semantic Web ◽  
Cultural Heritage ◽  
Linked Data ◽  
Wide Spectrum ◽  
Special Issue ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Editorial Special Issue ◽  
Major Application ◽  
Application Fields

Cultural Heritage and Digital Humanities have become major application fields of Linked Data and Semantic Web technologies. This editorial introduces the special issue of the Semantic Web (SWJ) journal on Semantic Web for Cultural Heritage. In total 30 submissions for the call of papers were received, of which 11 were selected for publication. The papers cover a wide spectrum of modelled topics related to language, reading and writing, narratives, historical events and cultural artefacts, while describing reusable methodologies and tools for cultural data management. This issue indicates and demonstrates the high potential of Semantic Web technologies for applications in the Cultural Heritage domain.

scholarly journals Linked Data Tools

2021 ◽  
Author(s):  
Gillian Byrne ◽  
Lisa Goddard
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
The State ◽  
The Internet ◽  
Semantic Technologies ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Distributed Reasoning ◽  
New Knowledge ◽  
Immense Potential

Semantic Web technologies have immense potential to transform the Internet into a distributed reasoning machine that will not only execute extremely precise searches, but will also have the ability to analyze the data it finds to create new knowledge. This paper examines the state of Semantic Web (also known as Linked Data) tools and infrastructure to determine whether semantic technologies are sufficiently mature for non–expert use, and to identify some of the obstacles to global Linked Data implementation.

scholarly journals Towards a semantic web of things framework

2019 ◽  
Vol 8 (4) ◽  
pp. 443
Author(s):  
Ismail Nadim ◽  
Yassine El ghayam ◽  
Abdelalim Sadiq
Keyword(s):  
Semantic Web ◽  
Information And Communication Technologies ◽  
Large Scale ◽  
Communication Technologies ◽  
The Internet ◽  
Semantic Web Technologies ◽  
Web Of Things ◽  
Web Technologies ◽  
Energy Consumption Optimization ◽  
Information And Communication

<p class="western" style="margin-top: 0.21cm; margin-bottom: 0cm;" lang="en-US" align="justify"><span style="color: #000000;"><span style="font-size: small;">Information and communication technologies (ICT) know a significant development especially in terms of hardware miniaturization, cost reduction and energy consumption optimization. This advancement enables the interconnection of a large number of physical objects namely using the Internet, forming what is called the Internet of Things (IoT). The IoT provides the opportunity to interact with these objects through sensors, actuators and smart applications which may help users in several areas such as transport, logistics, health care, agriculture, etc. However, building the IoT requires a strong interoperability between thousands of heterogeneous devices and services. In this context, the SWoT (Semantic Web of Things) uses semantic Web technologies to enrich these devices and services with semantic annotations which enables the semantic interoperability. However, the development of SWOT-based systems on a large scale faces many challenges especially due to the large number of devices and services, their geographical distribution as well as their mobility. These challenges - which may affect the system performance as a whole - require innovative industry and research efforts. The current paper proposes a SWoT framework architecture that take into account the main SWoT challenges.</span></span></p>

scholarly journals Interoperable Digital Building Twins Through Communicating Materials and Semantic BIM

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Ana Roxin ◽  
Wahabou Abdou ◽  
William Derigent
Keyword(s):  
Decision Support ◽  
Semantic Web ◽  
State Of The Art ◽  
Wireless Sensor ◽  
Construction Process ◽  
Semantic Web Technologies ◽  
Research Issues ◽  
Main Research ◽  
Web Technologies ◽  
Research Domains

AbstractThis paper presents contributions of the ANR McBIM (Communicating Material for BIM) project regarding Digital Building Twins, specifically how Semantic Web technologies allow providing explainable decision-support. Following an introduction stating our understanding of a Digital Building Twin (DBT), namely a lively representation of a buildings' status and environment, we identify five main research domains following the study of main research issues related to DBT. We then present the state-of-the-art and existing standards for digitizing the construction process, Semantic Web technologies, and wireless sensor networks. We further position the main contributions made so far in the ANR McBIM project's context according to this analysis, e.g., sensor placement in the communicating material and explainable decision-support.

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