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Open AccessEditorial
Information 2019, 10(2), 68;

Foreword to the Special Issue: “Semantics for Big Data Integration”

Dipartimento di Ingegneria "Enzo Ferrari", Università di Modena e Reggio Emilia, Via Vivarelli 10, 41125 Modena, Italy
Author to whom correspondence should be addressed.
Received: 15 February 2019 / Accepted: 15 February 2019 / Published: 18 February 2019
(This article belongs to the Special Issue Semantics for Big Data Integration)
Full-Text   |   PDF [164 KB, uploaded 18 February 2019]


In recent years, a great deal of interest has been shown toward big data. Much of the work on big data has focused on volume and velocity in order to consider dataset size. Indeed, the problems of variety, velocity, and veracity are equally important in dealing with the heterogeneity, diversity, and complexity of data, where semantic technologies can be explored to deal with these issues. This Special Issue aims at discussing emerging approaches from academic and industrial stakeholders for disseminating innovative solutions that explore how big data can leverage semantics, for example, by examining the challenges and opportunities arising from adapting and transferring semantic technologies to the big data context. View Full-Text
Keywords: big data dimensions; big data technology; big data integration; semantic data design; information visibility big data dimensions; big data technology; big data integration; semantic data design; information visibility
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Beneventano, D.; Vincini, M. Foreword to the Special Issue: “Semantics for Big Data Integration”. Information 2019, 10, 68.

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