This survey presents the concept of Big Data. Firstly, a definition and the features of Big Data
are given. Secondly, the different steps for Big Data data processing and the main problems …

Big data has attracted much attention from academia and industry. But the discussion of big
data is disparate, fragmented and distributed among different outlets. This paper conducts a …

The era of big data has resulted in the development and applications of technologies and
methods aimed at effectively using massive amounts of data to support decision-making and …

Sports data analysis is becoming increasingly large scale, diversified, and shared, but
difficulty persists in rapidly accessing the most crucial information. Previous surveys have …

Purpose The purpose of this paper is to provide a conceptual model for the transformation of
big data sets into actionable knowledge. The model introduces a framework for converting …

Purpose Organizations and their members operate in increasingly complex, dynamic and
even disruptive environments, with risk and uncertainty being major challenges. To that …

With the advent of the Industry 4.0 era, the digital economy (DE) has become a new driver of
sustainable development. This paper focuses on DE's green and environmental value …

Data science is the science of extracting meaning from potentially complex data. This is a
fast moving field, drawing principles and techniques from a number of different disciplinary …

The success of machine represented web known as semantic web largely hinges on
ontologies. Ontology is a data modeling technique for structured data repository premised …

The increasing variety of Linked Data on the Web makes it challenging to determine the
quality of this data and, subsequently, to make this information explicit to data consumers …