Semantic Web Technologies for Big Data Modeling from Analytics Perspective: A Systematic Literature Review

Abstract

The present study addresses research on the application of semantic technologies (Semantic web technologies) to assist analysts in selecting, building, and explaining big data models. It is motivated by the established lack of a comprehensive and up-to-date systematic scientific review aimed at the use of semantic technologies for big data modeling for the purposes of their analysis. Research questions are defined, which refer to tracking the research interest in this topic; identification of the big data models to which the focus is directed and the semantic technologies applied to them and the solved analytics tasks; formulation of trends, guidelines for future work. The scientific papers included in the review are 44, collected from well-known digital libraries for scientific literature covering the period between 2011 and the beginning of 2021. As a result of the conducted research, useful conclusions are summarized for the most frequently studied big data models, semantic technologies and the research tasks solved through them.