Semantic Web Technologies in Cloud Computing: A Systematic Literature Review

2016 ◽  
Author(s):  
Hayet Brabra ◽  
Achraf Mtibaa ◽  
Layth Sliman ◽  
Walid Gaaloul ◽  
Faiez Gargouri
Keyword(s):  
Cloud Computing ◽  
Literature Review ◽  
Semantic Web ◽  
Systematic Literature Review ◽  
Semantic Web Technologies ◽  
Web Technologies

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.

Open Taiwan Government data recommendation platform using DBpedia and Semantic Web based on cloud computing

2019 ◽  
Vol 15 (2) ◽  
pp. 236-254
Author(s):  
I-Cheng Chen ◽  
I-Ching Hsu
Keyword(s):  
Cloud Computing ◽  
Semantic Web ◽  
Cluster Model ◽  
Data Sets ◽  
Query Interface ◽  
Semantic Web Technologies ◽  
Cloud Computing Environment ◽  
Content Type ◽  
Web Technologies ◽  
Government Data

Purpose In recent years, governments around the world are actively promoting the Open Government Data (OGD) to facilitate reusing open data and developing information applications. Currently, there are more than 35,000 data sets available on the Taiwan OGD website. However, the existing Taiwan OGD website only provides keyword queries and lacks a friendly query interface. This study aims to address these issues by defining a DBpedia cloud computing framework (DCCF) for integrating DBpedia with Semantic Web technologies into Spark cluster cloud computing environment. Design/methodology/approach The proposed DCCF is used to develop a Taiwan OGD recommendation platform (TOGDRP) that provides a friendly query interface to automatically filter out the relevant data sets and visualize relationships between these data sets. Findings To demonstrate the feasibility of TOGDRP, the experimental results illustrate the efficiency of the different cloud computing models, including Hadoop YARN cluster model, Spark standalone cluster model and Spark YARN cluster model. Originality/value The novel solution proposed in this study is a hybrid approach for integrating Semantic Web technologies into Hadoop and Spark cloud computing environment to provide OGD data sets recommendation.

Cloud computing and semantic web technologies for ubiquitous management of smart cities-related competences

2020 ◽  
Author(s):  
Omiros Iatrellis ◽  
Theodor Panagiotakopoulos ◽  
Vassilis C. Gerogiannis ◽  
Panos Fitsilis ◽  
Achilles Kameas
Keyword(s):  
Cloud Computing ◽  
Semantic Web ◽  
Smart Cities ◽  
Semantic Web Technologies ◽  
Web Technologies
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