Distributed Context-Aware Applications by Means of Web of Things and Semantic Web Technologies

2016 ◽  
pp. 824-833
Author(s):  
Nicole Merkle
Keyword(s):  
Semantic Web ◽  
Context Aware ◽  
Semantic Web Technologies ◽  
Web Of Things ◽  
Web Technologies

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.

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.

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>

An intelligent semantic e-learning framework using context-aware Semantic Web technologies

2006 ◽  
Vol 37 (3) ◽  
pp. 351-373 ◽  
Author(s):  
Weihong Huang ◽  
David Webster ◽  
Dawn Wood ◽  
Tanko Ishaya
Keyword(s):  
Semantic Web ◽  
Context Aware ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Learning Framework ◽  
E Learning

An Ontology-Based Context-Aware Infrastructure for Smart Homes

2011 ◽  
pp. 272-299 ◽  
Author(s):  
Bin Guo ◽  
Daqing Zhang ◽  
Michita Imai
Keyword(s):  
Semantic Web ◽  
Smart Homes ◽  
Context Aware ◽  
End User ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Context Reasoning ◽  
Series Of Experiments

A general infrastructure that can facilitate the development of context-aware applications in smart homes is proposed. Unlike previous systems, our system builds on semantic web technologies, and it particularly concerns the contexts from human-artifact interaction. A multi-levels’ design of our ontology (called SS-ONT) makes it possible to realize context sharing and end-user-oriented customization. Using this infrastructure as a basis, we address some of the principles involved in performing context querying and context reasoning. The performance of our system is evaluated through a series of experiments.

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