Abstract

Semantic Web Applications: Current Trends in Datasets, Tools and Technologies’ Development for Linked Open Data

Highlights

  • Our live is surrounded by modern technologies such as cloud, Artificial Intelligence (AI) and Internet of Things (IoT)

  • It is not very clear what Semantic web role is alongside cloud, Artificial Intelligence, and Internet of Things technologies, but definitely applying AI for discovering relationships between data or integrated processed data coming from IoT devices are the challenges

  • RQ11 What are the main activities from the Linked Open Data cloud

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Summary

Materials and Methods

This study explores articles obtained from the following literature databases: Clarivate, Scopus, and Google Scholar. The study explored Linked Data Open Cloud website and took into consideration ontologies belonging to each activity. The data contains an identifier, an eventual SPARQL endpoint and a description about the total number of triples. We established the methods to study this subject by anchoring on methods used in other research articles. Establishing the search keywords (in the mainstream of publications or on official websites known as standards’ recommender or on the Linked Open Data Cloud website, as it was our case) 3. After establishing the purpose of our research, we identified the main three research questions and enlisted them in the Introduction section. 7. What are the main Semantic Web applications area from Linked Open Data Cloud. 8. What exactly are the research subjects to study in order to develop a semantic web application 9.

What is their scalability?
Results
User generated
Number of Access triples
USA tion prevention activities reported triples
Instance Hub Fiscal Years
SARQL endpoint and download
Full Text
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