Big Data. New approaches of modelling and management

Abstract

Nowadays, there are a huge number of autonomous and diverse information sources providing heterogeneous data. Sensors, social media data, data on the Web, open data, just to name a few, resulting in a major confluence of Big Data. In this survey, we discuss these diverse data sources and detail the way in which data are acquired, stored, processed and analysed. Although some of the opportunities in this new state are mentioned, the main objective of this analysis is to present the challenges for Big Data. To accomplish this goal, we examine the new proposals and approaches presented in this special issue with the aim of establishing new models for improving the management of the volume, velocity, and variety, of Big Data. Some of these schemes establish the use of Ontologies, Semantic Processing, Cloud Computing and Data Management and could be seen as intelligent services integrated as context-aware services.