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

Abstract

We report a survey on the actual state of the art about semantic web and its applications. Semantic Web plays a major role in integrating data, especially open data, publicly available on the Internet. We reviewed scientifically research papers, study cases, web sites and specialty books in order to discuss the main applicative areas, especially in the field of governmental use, the main technologies and the architectures involved. Both quantitative and qualitative analyses were carried out on the data, which related to 1460 ontologies belonging to Linked Open Data Cloud. The second analysis was on the content of scientific articles belonging to Clarivate Analytics, Scopus and Google Scholar databases. We identified and analyzed 84941 articles written on the subject of ontology, from which computer science is represented by 36264 articles. The results of our research proved that semantic web technologies are an important tool for describing and integrating data and an important component in the data layer of any intelligent application. This study contributed to the mainstream of the research literature by presenting the applicative areas of semantic web and semantic web applications’ development tools, architectures, and methodology.

Keywords

• semantic web
• linked open data
• resource description framework
• sparql protocol and rdf query language